Ferromagnetic loop

[00002] This is a continuation-in-part (“CIP”) application that claims the benefit of U.S. patent application Ser. No. 10/098,131, filed Mar. 15, 2002 (“the '131 application”), which is a CIP application of U.S. patent application Ser. No. 09/977,937 (“the '937 application”), filed Oct. 17, 2001. Each of the two above-referenced applications is incorporated herein by reference in its entirety.

[00003] 1. Field of the Invention

[00004] The present invention relates generally to detection, identification, and classification of metallic objects, and more particularly, to a system and method for using ferromagnetic loops to identify and classify vehicles.

[00005] 2. Background of the Invention

[00006] A typical automatic toll collection system for a highway involves the use of a toll collection station or toll booth positioned between each lane of traffic. Vehicles driving on the highway must pass through a toll lane alongside the toll collection station.

[00007] The passage of vehicles by the toll collection stations is monitored with a combination of loop detectors, treadles, or other such devices capable of detecting passing vehicles. These devices provide vehicle classification information after the vehicle has passed a payment point. Although these devices can be used for audit purposes, they do not address the potential for error when an attendant makes a mistake, nor do they address the ability to properly classify all transactions.

[00008] In early toll collection systems, attendants were employed to manually collect fares from the operators of vehicles and to regulate the amount of tolls. Utilizing attendants to collect fares involves numerous problems including, but not limited to, the elements of human error, inefficiencies, traffic delays resulting from manually collected tolls, employment costs of toll attendants, and embezzlement or theft of collected toll revenues. As a result, devices have been developed to automatically operate toll collection systems without the need for toll attendants. In these systems, the toll fees paid are a fixed price for all vehicles regardless of the number of axles or vehicle type.

[00009] Accordingly, a need arises for a system and method that can allow collection of different toll rates from different classes or categories of vehicles without user intervention. In other words, there is a need for a toll collection system in which a toll booth attendant need not be present to classify vehicles to apply different rates of toll charges.

[00010] One example of such toll collection system is described in the '937 application. The '937 application discloses an intelligent vehicle identification system (IVIS) that includes one or more inductive loops. The inductive loops disclosed in the '937 application includes signature loops, wheel assembly loops, intelligent queue loops, wheel axle loops, gate loops, vehicle separation loops, and enforcement loops.

[00011] The present invention discloses additional designs, configurations, installation, and other characteristics associated with the loops previously disclosed in the '937 application. In other words, a ferromagnetic loop in accordance with the teaching of the present invention can be adapted to be utilized as one or more of the loops disclosed in the '937 application. Of course, the ferromagnetic loops of the present invention have applications beyond those in the toll road context and those disclosed in the '937 application. For example, the ferromagnetic loops of the present invention can be adapted to serve various purposes including traffic law enforcement, traffic surveys, traffic management, detection of concealed metallic objects, treasure hunting, and the like.

[00012] A ferromagnetic loop of the present invention has many applications. For example, it can be used to detect metallic objects, sensing moving vehicles, and classifying vehicles for toll road applications. A preferred embodiment of the ferromagnetic loop is characterized by a continuous wire. Preferably, the continuous wire is shaped in a serpentine manner. Preferably, the continuous wire is shaped in the serpentine manner on a plane having a footprint. The footprint has an axis. A frequency associated with the ferromagnetic loop is affected when there is a relative motion between the ferromagnetic loop and a metallic object along the axis of the footprint. For example, the frequency fluctuates when the object moves along the axis above the ferromagnetic loop. Similarly, the frequency can fluctuate if the ferromagnetic loop moves in a direction along the axis above the object.

[00013] The footprint can take one of several shapes. For example, the footprint can be one of a triangle, a rectangle, a square, a circle, an ellipse, a rhombus, a parallelogram, and the like. Preferably, the continuous wire forms multiple contiguous polygons within the footprint. Preferably, each of the multiple contiguous polygons can assume one of several shapes. For example, each of the contiguous polygons can be one of a rectangle, a square, a rhombus, a parallelogram, and the like. Preferably, there are at least three contiguous polygons within the footprint. The contiguous polygons may be parallel, perpendicular, or at an angle with respect to the axis of footprint.

[00014] Each of the multiple contiguous polygons is associated with a spacing dimension. The spacing dimension may be constant for all the contiguous polygons. Alternatively, there may be different spacing dimensions among the polygons. For example, the spacing dimensions of the contiguous polygons may demonstrate a gradient characteristic as shown in loop 4900 in FIG. 49.

[00015] In a specific implementation for vehicle detection applications, the present invention provides a ferromagnetic loop that is installed on a travel path for detection of vehicles moving in a direction along the travel path. In the specific implementation as shown in FIG. 27, ferromagnetic loop 2700 is characterized by continuous wire 2702, which is shaped in a serpentine manner within footprint 2704. Footprint 2704 has footprint length dimension 2706, which is parallel to direction 2710 and footprint width dimension 2708, which is perpendicular to direction 2710. Continuous wire 2702 forms multiple contiguous polygons 2712 within footprint 2704. Each of multiple contiguous polygons 2712 is characterized by polygon length dimension 2716 that is parallel to direction 2710 and polygon width dimension 2718 that is perpendicular to direction 2710. Polygon length dimension 2716 is also known as the spacing dimension. A frequency associated with ferromagnetic loop 2700 is affected when a vehicle (not shown) moves across footprint 2704 in direction 2710. The detection of the vehicle can be done using loop detector 2720, which is connected to continuous wire 2702 via lead-in 2714.

[00016] In one embodiment, each of polygon width dimensions 2718 is substantially equal to footprint width dimension 2708 and a sum of all the polygon length dimensions 2716 is substantially equal to footprint length dimension 2706. In a different embodiment, any of polygon length dimensions 2716 is as long as any other polygon length dimensions 2716. In still a different embodiment, one or more of polygon length dimensions 2716 is longer than at least one other polygon length dimension 2716. In other words, the spacing dimension 2716 between any two contiguous polygons may be the same or vary.

[00017] In a different preferred embodiment of the ferromagnetic loop shown in FIG. 49A, ferromagnetic loop 4910 includes left loop 4912 and right loop 4914. Left loop 4912 is characterized by a left footprint with a left length dimension parallel to the direction and a left width dimension perpendicular to the direction. Similarly, the right loop is characterized by a right footprint with a right length dimension parallel to the direction and a right width dimension perpendicular to the direction. Left loop 4912 and the right loop 4914 are part of a continuous wire that is characterized by overall footprint 4920 having overall length dimension 4922 parallel to the direction and overall width dimension 4924 perpendicular to the direction. Left loop 4912 and right loop 4912 are located offset relative to each other such that a sum of the left length dimension and the right length dimension equals overall length dimension 4922, and a sum of the left width dimension and the right width dimension equals overall width dimension 4924. When a vehicle moves in the direction over the ferromagnetic loop, a left portion of the vehicle's wheel assembly affects a first frequency associated with left loop 4912 and a right portion of the vehicle's wheel assembly affects a second frequency associated with right loop 4914. Each of left loop 4912 and right loop 4914 can assume one of several shapes. For example, the shape for each of the left loop and the right loop can be one of a rectangle, a square, a rhombus, a parallelogram, and the like.

[00018] In another embodiment shown in FIG. 49B, the present invention provides a different loop array 4950 for detection of vehicles moving in a direction. Loop array 4950 includes front loop 4952 and rear loop 4954. Each of front loop 4952 and rear loop 4954 is associated with a frequency that is quantifiable by loop detector 4902 in communication with loop array 4950. The frequency associated with each of front loop 4952 and rear loop 4954 is affected when a vehicle moves across each of front loop 4952 and rear loop 4954 in direction 4906. Preferably, at least one of front loop 4952 and rear loop 4954 is characterized by multiple contiguous polygons. Preferably, at least one of front loop 4952 and rear loop 4954 is characterized by a continuous wire shaped in a serpentine manner to form the multiple contiguous polygons. Preferably, at least one of front loop 4952 and rear loop 4954 is characterized by a footprint having a loop length dimension and a loop width dimension, and each of the multiple polygons associated with the loop is characterized by a polygon length dimension and a polygon width dimension. Preferably, the sum of all polygon length dimensions is substantially equal to the loop length dimension, and each of the polygon length dimensions is substantially equal to the loop length dimension.

[00019] The present invention further provides methods for installing a ferromagnetic loop for detection of vehicles. A preferred method includes the step of providing a web of grooves on a traveling lane. The web of grooves is characterized by multiple contiguous polygons. The method further includes the step of laying a continuous wire in a serpentine manner within the web of grooves. The method also includes the step of securing the continuous wire within the web of grooves using a bonding agent. Preferably, the method can further include the step of laying the continuous wire at least two turns in at least one groove of the web of grooves. Preferably, the at least two turns are laid side-by-side within the at least one groove. Preferably, the web of grooves has a spacing between any two parallel grooves. The spacing may be from about three inches to about eight inches. Furthermore, the web of grooves may have a gradient spacing between the parallel grooves. The gradient spacing can range from between about three inches and about eight inches.

[00020] The present invention further includes a method for preparing a ferromagnetic loop. The method includes the step of pre-forming a continuous wire shaped in a serpentine manner to form multiple contiguous polygons. The method also includes the step of attaching one or more fasteners along the continuous wire to maintain the multiple contiguous polygons. The fasteners are adapted to maintain the multiple contiguous polygons. The method can further include the step of providing at least two turns of the continuous wire to form at least one of the multiple contiguous polygons. The at least two turns of the continuous wire are preferably arranged side-by-side.

[heading-00085] Overview of the Invention Disclosed in the '937 Application

[00086] It is noted the present invention can be adapted for a large number of different applications. For example, the profile information generated by a classification loop array using the present invention can be used in traffic management and analysis, traffic law enforcement, and toll collection.

[00087] FIG. 1 is a schematic diagram illustrating a preferred location of classification loop array 110 of the present invention on the surface of path 100. Path 100 can be, for example, a toll lane, a roadway, an entrance to a parking lot, or any stretch of surface on which vehicle 120 travels in direction 130. Classification loop array 110 is located at a distance D upstream from device 150 along path 100.

[00088] Classification loop array 10 comprises at least one signature loop and at least one wheel assembly loop. Briefly, the signature loop is adapted to indicate changes in electromagnetic field which can be processed to produce initial signature information as it detects the presence of vehicle 120 over it. The initial signature information represents changes of inductance which can be interpreted to identify, among other characteristics of vehicle 120, a speed of the vehicle, an axle separation of the vehicle, and a chassis height of the vehicle. The wheel assembly loop is adapted to indicate changes in electromagnetic field which can be processed to produce wheel assembly information as it detects the presence of vehicle 120 over it. The wheel assembly information represents changes of inductance which can be interpreted to identify, among other attributes of vehicle 120, the axle count and the axle separation with increased accuracy and details. Specifically, the wheel assembly loop can detect, among other things, the separation between two successive wheels of vehicle 120 that is traveling in direction 130. The initial signature information and the wheel assembly information, collectively, are also known as profile information of the vehicle.

[00089] Device 150 is in communication with classification loop array 110. As discussed below, device 150 can be one of many different devices that can be used in conjunction with classification loop array 110. Although device 150 is shown in FIG. 1 to be located downstream of classification loop array 110 in direction 130, device 150 can be located elsewhere, for example, at a position upstream of classification loop array 110. In another example, device 150 can located next to classification loop array 110. In still another example, device 150 can be at a remote location. Distance D can be any distance depending on specific applications. In a toll collection application in which path 100 is a toll lane, distance D can be between zero and 110 feet. Preferably, distance D is about 65 feet. It is noted that a length of 65 feet is slightly longer than then the length of a typical tractor trailer. The distance D should be increased to about 85 feet to 110 feet for toll lanes that are adapted to accommodate tractor-trailers towing double trailers. Similarly, the distance D can be shorter than 65 feet if tractor trailers are not expected to use path 100.

[00090] In a traffic management and analysis application, classification loop array 110 can be arranged such that it can be used to sense movement of vehicle 120 along path 100 in direction 130. For example, path 100 can be a specific stretch of a highway. In this application, device 150 can be, for example, a computer adapted to perform statistical analysis based on data collected by classification loop array 110. Device 150 can, for example, use the data collected by classification loop array 110 to determine the types of vehicles that use the highway, the number of vehicles passing that point each day, the speed of the vehicles, and so on.

[00091] In a traffic law enforcement application, classification loop array 110 can be used in conjunction with other devices. For example, device 150 can be a camera that is positioned to take a photograph of the license plate of vehicle 120 if classification loop array 110 detects a speed of vehicle 120 exceeding a speed limit. In still another example, path 100 is a restricted lane that prohibits large vehicles such as tractor trailers and device 150 is a camera used to capture an image of the license plate of vehicle 120 if classification loop array 110 detects the presence of a tractor trailer in path 100.

[00092] In a toll collection application in which device 156 is a payment point (e.g., an automated toll collection mechanism), profile information associated with vehicle 120 that is collected by classification loop array 110 can be used to classify vehicle 120 before it arrives at the payment point. The classification can then be used to notify an operator of vehicle 120 about an appropriate fare associated with the classification. In this toll collection application, vehicle 120 is classified and the appropriate fare is determined before it arrives at device 150. More importantly, the classification is made without input from a toll attendant, thereby eliminating human errors associated with classification of vehicles. When vehicle 120 arrives at device 150, the appropriate fare can be collected from the operator. It is noted that device 150 can be replaced by a toll attendant even though in this application the toll attendant does not classify vehicle 120 to determine the fare. In the toll collection application of the present invention, it is preferable that vehicle 120 clears classification loop array 110 (i.e., the entire vehicle 120 must clear classification loop array 110) before vehicle 120 reaches device 150.

[heading-00093] Preferred Embodiments for Implementation in a Toll Lane

[00094] FIG. 1A is a schematic diagram illustrating the layout of components of another preferred embodiment of the present invention. In this preferred embodiment, path 100 is a toll lane on which vehicle 120 travels in direction 130. Device 150 is a payment point. Classification loop array 110 is located at a distance D upstream of device 150. At or near device 150, intelligent queue loop 140 is located on toll lane 100 downstream of classification loop array 110. Intelligent vehicle identification unit 170 is in communication with classification loop array 110, intelligent queue loop 140, and device 150.

[00095] Preferably, classification loop array 110 has a length and a width. The width is preferably wide enough so that no vehicle can travel on toll lane 100 without being detected by classification loop array 110. The length, indicated in FIG. 1A as length L, is preferably between about three and thirty feet. Preferably, classification loop array 110 comprises at least one signature loop that measures six feet by six feet. Intelligent queue loop 140 preferably has a length and width that is similar to the signature loop. In other words, intelligent queue loop 140 is also preferably six feet by six feet.

[00096] In this embodiment, the signature loop (not shown in FIG. 1A) of classification loop array 110 is adapted to indicate changes in electromagnetic field which can be processed to produce initial signature information of vehicle 120. Intelligent queue loop 140 is adapted to indicate changes in electromagnetic field which can be processed to produce subsequent signature information of vehicle 120. The initial and subsequent signature information of a common vehicle exhibit similar characteristics on a inductance vs. time plot. Exemplary inductance vs. time plots are shown in FIGS. 6-7, 9-11, 13, and 21-25. The Y-axis represents a unit of inductance and the X-axis represents a unit of time. Preferably, the unit of inductance is in kilo-henrys and the unit of time is in milli-seconds.

[00097] Preferably, classification loop array 110 further comprises at least one wheel axle loop (not shown in FIG. 1A). The wheel axle loop is adapted to indicate changes in electromagnetic field which can be processed to produce wheel assembly information. The wheel assembly information can be represented in an inductance vs. time plot. Exemplary inductance vs. time plots of wheel assembly information is shown in FIGS. 8, 12, and 14.

[00098] Intelligent vehicle identification unit 170 is in communication with classification loop array 110, intelligent queue loop 140, and device 150. In the preferred embodiment, when vehicle 120 is traveling over classification loop array 110, profile information of vehicle 120 is generated and provided to intelligent vehicle identification unit 170. As noted above, the profile information represents changes of inductance which can be interpreted to identify, among other characteristics of vehicle 120, an axle count of the vehicle, an axle spacing of the vehicle, a speed of the vehicle, and a chassis height of the vehicle.

[00099] As suggested above, the profile information includes initial signature information that is produced based at least in part on data collected by the signature loop of classification loop array 110. Preferably, the profile information also includes wheel assembly information that is produced based at least in part on data collected by the wheel assembly loop. When vehicle 120 travels over intelligent queue loop 140, subsequent signature information is produced based at least in part on data collected by intelligent queue loop 140. The profile information and the subsequent signature information are provided to intelligent vehicle identification unit 170.

[00100] If the initial signature information and the subsequent signature information indicate that the vehicle previously detected by classification loop array 110 is now at device 150, intelligent vehicle identification unit 170 notifies the operator of vehicle 120 of the appropriate fare associated with the profile information. In other words, intelligent queue loop 140 verifies that that the vehicle at device 150 is the same vehicle for which the fare was determined from classification loop array 110. This serves to detect if one or more vehicles have disturbed the queue order.

[00101] FIG. 2 is a schematic diagram illustrating one embodiment of the present invention as implemented in a toll road application. Classification loop array 200 comprises a number of loops, including, for example, one or more signature loops 210 and 230, and at least one wheel assembly loop 220. Signature loops 210 and 230, and wheel assembly loop 220, are arranged such that a vehicle traveling in direction 130 would initially encounter front signature loop 210, and then wheel assembly loop 220, and finally rear signature loop 230.

[00102] In addition to classification loop array 200, the preferred embodiment shown in FIG. 2 further comprises intelligent queue loop 240 and gate loop 250. Intelligent queue loop 240 is preferably similar to signature loops 210 and 230 in shape and dimensions. Gate loop 250 is adapted to detect the presence of the vehicle beyond or downstream of toll gate 252. Preferably, toll gate 252 is kept open until the vehicle clears gate loop 250.

[00103] Each of front signature loop 210, rear signature loop 230, and intelligent queue loop 240 is preferably generally rectilinear or rectangular in shape. Preferably, each of these loops has two or more turns of wire. The width of each of these loops is preferably six feet. However, the width can be almost as wide as toll lane 100. In an example in which toll lane 100 is 12 feet wide, the width of each of these loops can be between about three feet and about eleven feet. Preferably, each of these loops is a square, in other words, the length of each of these loops is the same as the width. Preferably, each of these loops measures six feet by six feet.

[00104] Each of front signature loop 210, rear signature loop 230, intelligent queue loop 240, and gate loop 250 is basically an inductive loop. Each of these loops is used to detect, among other things, a presence of a vehicle over it, the vehicle's chassis height, an axle count of the vehicle, and the movement of the vehicle. Each of these loops preferably produces a flux field or an electromagnetic field that is high enough to be affected by the chassis of each vehicle that uses toll lane 100. The chassis of the vehicle creates eddy currents and disperses the flux field of the loop. This results in lowering the inductance of the loop circuit. One of skill in the art could consult Traffic Detector Handbook, Publication No. FHWA-IP-90-002, which is incorporated herein by reference in its entirety, for further information regarding inductive loops. The loop's detector (e.g., loop detector 260) processes these inductive changes in the loop circuit.

[00105] Wheel assembly loop 220 is also an inductive loop. Preferably, wheel assembly loop 220 is adapted to detect the wheel assemblies of the vehicle and to minimize the detection of the chassis of the vehicle and maximize the detection of the axles of the vehicle. Wheel assembly loop 220 is adapted to indicate changes in electromagnetic field which can be processed to produce wheel assembly information.

[00106] Intelligent queue loop 240 preferably senses the beginning of the vehicle, the end of the vehicle, the chassis height of the vehicle, and the vehicle's presence over it. Gate loop 250 is preferably adapted to detect the presence of the vehicle. The detection of the vehicle by gate loop 250 controls toll gate 252.

[00107] Each of front signature loop 210, wheel assembly loop 220, rear signature loop 230, intelligent queue loop 240, and gate loop 250 is in communication with one or more loop detector 260. Loop detector 260 preferably has a loop signal processor and discriminator unit (LSP&D) (not shown). Preferably, each of front signature loop 210, rear signature loop 230, intelligent queue loop 240, and gate loop 250 can be used to determined signature information including one or more of vehicle presence, vehicle speed, vehicle length, chassis height, and vehicle movement. The signature information, as discussed above, can be represented in an inductance vs. time plot.

[00108] FIG. 6 is an exemplary signature information of a vehicle traveling at a speed of ten miles per hour over a six feet by six feet signature loop. The speed can be calculated based on the slope of curve 610. Point 612 indicates a moment in time when the vehicle is first detected by the signature loop. Point 614 indicates a moment in time when the vehicle is at the center of the signature loop. Point 616 indicates a moment in time when the vehicle has gone beyond the detection zone of the signature loop.

[00109] FIG. 7 is another exemplary signature information of the same vehicle that comes to a complete stop at one time over the six feet by six feet signature loop. Curve 710 represents the movement of the vehicle over the signature loop. The flat portion of curve 710 between point 712 (at time=1027) and 714 (at time=1606) indicates that the vehicle is stationary.

[00110] FIG. 9 is an exemplary signature information of a vehicle traveling at a speed of five miles per hour over a six feet by six feet signature loop. Curve 910 shows changes in inductance detected by the signature loop as the vehicle moves over the signature loop.

[00111] FIG. 10 is another exemplary signature information of a vehicle traveling at a speed of 10 miles per hour over a signature loop. Curve 1010 shows changes in inductance detected by the signature loop as the vehicle moves over the signature loop.

[00112] FIG. 11 is an exemplary signature information of a vehicle traveling at a speed of 30 miles per hour over a six feet by six feet signature loop. Curve 1110 shows changes in inductance detected by the signature loop as the vehicle moves over the signature loop.

[00113] Note that each of curves 910, 1010, and 1110 exhibits a similar pattern. Each of these curves shows that when the vehicle is not detected, the inductance value is in between 121000 units and 121200 units. Each of these curves also shows that when the vehicle is in the center of the signature loop, the inductance value is in between 120000 units and 120200 units. The noticeable difference between these three curves is the width of the gap between two points on the curve when the presence of the vehicle is detected. Indeed, each of these curves characterizes the same vehicle (incidentally, the vehicle is a pickup truck) moving at speeds of five miles per hour, 10 miles per hour, and 30 miles per hour, as represented by curves 910, 1010, and 1110, respectively, over the same signature loop.

[00114] FIG. 13 is an exemplary signature information of the same vehicle traveling over an enforcement loop or an intelligent queue loop. Note that curve 1310 exhibits similar pattern of inductance change over time as those characterized by curves 910, 1010, 1110.

[00115] FIG. 8 is an exemplary wheel assembly information of a two-axle vehicle traveling over a wheel assembly loop at ten miles per hour. Curve 810 indicates changes in inductance as the vehicle travels over the wheel assembly loop. First peak 812 indicates the detection of a front wheel of the vehicle. Second peak 814 indicates the detection of a rear wheel of the vehicle.

[00116] FIG. 12 is an exemplary wheel assembly information of a two-axle vehicle traveling over a wheel assembly loop. Curve 1210 indicates changes in inductance as the vehicle travels over the wheel assembly loop. First peak 1212 indicates the detection of a front wheel of the vehicle. Second peak 1214 indicates the detection of a rear wheel of the vehicle.

[00117] FIG. 14 is another exemplary wheel assembly information of a two-axle vehicle traveling over a wheel assembly loop. Curve 1410 indicates changes in inductance as the vehicle travels over the wheel assembly loop. First peak 1412 indicates the detection of a front wheel of the vehicle. Second peak 1414 indicates the detection of a rear wheel of the vehicle.

[00118] Referring now to FIG. 21, initial curve 2110 characterizes a vehicle traveling at a first speed over a signature loop. Subsequent curve 2120 characterizes the vehicle slowing down significantly when it was detected by an intelligent queue loop 240. Both curve 2110 and curve 2120 have identical lowest inductance between 119600 units and 119800 units, indicating that each of curve 2110 and curve 2120 characterizes the same vehicle.

[00119] FIGS. 22-25 are additional exemplary inductance vs. time plots representing signature information of different categories of vehicles. FIG. 22 is an exemplary signature information of a four-axle vehicle. FIG. 23 is an exemplary signature information of a vehicle towing a two-axle trailer. FIG. 24 is an exemplary signature information of a five-axle truck. FIG. 25 is an exemplary signature information of a three-axle dump truck.

[00120] Referring back to FIG. 2, intelligent vehicle identification unit 270 comprises a microprocessor. The microprocessor is preferably capable of gathering data from one or more distinct inductive loop measurement and processing units such as loop detector 260. One example of loop detector 260 is a microprocessor that provides an oscillating circuit. Loop detector 260 can be incorporated into intelligent vehicle identification unit 270. Loop detector 260 receive the profile information from classification loop array 200 and the subsequent signature information from intelligent queue loop 240. Furthermore, intelligent vehicle identification unit 270, given the signals received (which comprises the profile information and the subsequent signature information), can perform various calculations on the signals to determine core information about a vehicle passing over the inductive loops such as relative vehicle mass, vehicle length, average passing speed of the vehicle, direction of movement of the vehicle, number of axles present on the vehicle, and the spacing between subsequent axles on the vehicle.

[00121] Intelligent identification unit 270 is in communication with display and local interface 272 and remote access and interface 274. Intelligent identification unit 270 has access to a vehicle library comprising predefined vehicle classifications or categories, and their associated fares. The vehicle library can be modified through a graphical user interface associated with intelligent identification unit 270. Modification of the vehicle library can involve, for example, adding, deleting, and editing of vehicle categories. The modification can be performed through a computer associated with a local area network with which intelligent vehicle identification unit 270 is associated. Preferably, the modification can also be performed through a computer associated with a wide area network with which intelligent vehicle identification unit 270 is associated.

[00122] Once the information received from loop detector 260 is processed by intelligent vehicle identification unit 270, the resultant signature data of the vehicle is utilized in a comparison engine. The comparison engine employs both stored typical vehicle signatures for various distinct categories of vehicles and neural network processing to intelligently associate the exact data received with a representative vehicle signature previously defined. Also, the initial signature information is stored for later comparison with the subsequent signature information received from intelligent queue loop 240.

[00123] After processing this data against the vehicle library and through the neural network processing, the microprocessor assigns a distinct classification identifier to the vehicle and internally queues the data thus received and awaits a detection signal from intelligent queue loop 240. The vehicle library is preferably stored in a database accessible by intelligent vehicle identification unit 270.

[00124] Once the subsequent signature information is received from intelligent queue loop 240 by the microprocessor, the microprocessor performs an analysis on this signature information to see if it properly represents the next internally queued vehicle for purposes of ascertaining that the vehicle arriving at payment point 290 is the same vehicle that the system expects to be arriving at payment point 290. Under one circumstance, a vehicle, e.g., a motorcycle, could potentially pass over classification loop array 200 and then exit toll lane 100 early. In another instance, the vehicle could potentially miss passing over classification loop array 200 and move into toll lane 100 at a later point, thus missing being correctly classified by the system beforehand. Intelligent queue loop 240 is utilized in both circumstances to detect such queuing anomalies.

[00125] The microprocessor that is utilized to analyze the various loop signatures can preferably send data to another main processing device to gather data, control traffic flow, or otherwise process the data in a meaningful manner. In a toll collection embodiment of the invention, this collection processing device would be another microprocessor unit designed to assimilate various input data and toll collection device control to assist in collecting proper fare amounts for vehicles passing through the toll lane.

[00126] If a vehicle crosses intelligent queue loop 240 and is not recognized as the next classified vehicle, the microprocessor will check any other queued classified vehicles to see if the signature matches any other vehicles thus queued. If the subsequent signature information matches a later vehicle, then the microprocessor will assume that any earlier queued vehicles have exited the lane after crossing classification loop array 200 and will discard those vehicles from the queue.

[00127] If a vehicle crosses intelligent queue loop 240 and is not recognized as the next classified vehicle or as any of the vehicles subsequent in the vehicle classification queue, the microprocessor will then make the assumption that the vehicle entered toll lane 100 late and that it was not properly classified. A new vehicle classification record will then be inserted into the queue at that point and marked such that the system does not reliably know what type of vehicle is currently at the head of the queue.

[00128] If a vehicle entered toll lane 100 late, thus causing an anomaly in the proper queuing of vehicles, an appropriate message will be sent from the microprocessor to the main processing device so that the main processing device can make an appropriate decision based on the type of anomaly that occurred in queuing and present the toll attendant with the appropriate information for making an informed decision on how to handle the errant vehicle, if the toll lane is a manual collection lane. The collection-processing device must make a decision on the expected toll based on rules established by the authority (default fare) if the main processing device is utilized to automatically operate a toll collection lane without the use of a toll attendant.

[00129] Other than the previously specified anomaly situation in queuing, the microprocessor will normally pass information regarding the next queued vehicle to the toll collection processing device. The processing device receives this classification identifier from the inductive loop control microprocessor and cross-references the classification identifier against a cross-reference database of identifiers and toll classifications as defined by the tolling authority. This cross-reference action is used to assign a particular authority classification and, thus, an appropriate fare amount expected for the vehicle.

[00130] Since many vehicles with distinct classification identifiers are of the same general type as it pertains to the local tolling authority's fare structure, this cross-reference action serves to reduce the number of distinct vehicle classifications to just those distinct classifications and associated fare amounts as defined by the tolling authority. For example, a particular tolling authority might assign the same general classification to a motorcycle and a passenger car even though these two vehicles would generate two distinct classification identifiers or profile information.

[00131] Once the collection processing device has received and cross-referenced the vehicle data internally, it will communicate the appropriate classification and fare expected for the vehicle to the toll attendant if the lane is operating in a manual operational mode. If the toll lane is operating in an automatic mode, the data will be used to communicate to any attached automatic toll collection equipment the expected fare amount that the vehicle operator must present to gain passage through toll lane 100.

[00132] In order to provide the cross-reference database utilized in the toll collection processing device, a user program is provided with the corresponding toll management system. This program allows the toll authority to select each vehicle type that is distinctly identified by the loop system microprocessor program and match it with one of the predefined or predetermined classifications set up by the authority, which subsequently defines the amount of the fare expected for that vehicle type.

[00133] The user program can preferably be adapted to employ the use of digital photographs for each type of vehicle to further illustrate the exact type of vehicle (or vehicles) which would fall under each category of vehicles classified by the loop system microprocessor for visual reference. The authority personnel would then create the cross-reference table by matching up each loop microprocessor classification with the corresponding authority classification. FIGS. 17-20 are exemplary screenshots of such information.

[00134] Additionally, for vehicles with too many axles to be classified by the authority's base classification system, the cross-reference table also allows the user to define the additional number of axles to add to the base classification axle count to determine the total fare for such vehicles.

[00135] As the user completes the cross-reference process utilizing the user program for such purposes, the data is saved to the plaza system database and subsequently distributed to each toll lane processing computer for subsequent use in cross-referencing subsequent vehicles for automatic classification purposes.

[00136] Preferably, intelligent identification unit 270 includes management software tools. The software tools enable every transaction (e.g., each vehicle's passing through the toll lane) to have a complete audit trail. Tracking each transaction increases the accuracy of the revenue collection process.

[00137] The system shown in FIG. 2 further comprises payment point 290, which is preferably located upstream of toll gate 252, but downstream of classification loop array 210 in direction 130. Payment point 290 may be equipped with an automated toll collection mechanism. Alternatively, payment point 290 may be staffed with a toll attendant. When an appropriate fare is received at payment point 290, toll gate 252 opens to allow the vehicle to continue to move in direction 130. It is noted that other traffic control apparatus may be used in lieu of toll gate 252. For example, traffic lights may be used.

[00138] As disclosed above, the capability to charge different toll fees for different vehicle types at payment point 290 without a toll attendant is possible with the present invention.

[00139] For convenience, a system of the present invention as shown in FIG. 2 may be hereinafter referred to as an intelligent vehicle identification system (IVIS). The IVIS of the present invention can have a number of embodiments including but not limited to those shown in FIGS. 2-5.

[00140] The IVIS, as implemented in FIGS. 2-5, combines hardware and software to identify or classify a vehicle using an arrangement of inductive loops. The shapes, layout, and number and type of loops in each of the arrangements can vary depending on how the toll lane is to be used. For example, different layouts and designs may be required for slow speed and high speed toll lanes.

[00141] In FIG. 3, for example, classification loop array 300 is adapted to indicate changes in electromagnetic field which can be processed to produce profile information of a vehicle that travels over it in direction 130. The profile information includes initial signature information, which is produced based at least in part on data collected by front signature loop 310 and rear signature loop 330, as well as wheel assembly information which is produced based at least in part on data collected by left wheel assembly loop 320 and right wheel assembly loop 322. One or more of an axle count, axle spacing, speed, and height of axles from the surface of the toll lane can be determined using the profile information. The data collected by the loops is provided to loop detector 260 for processing. Furthermore, loops 340 and 342 can also be adapted to indicate changes in electromagnetic field which can be processed to produce subsequent signature information at locations downstream of payment point 390.

[00142] Each of the wheel assembly loops 320 and 322 is designed to detect primarily tires and wheel assemblies of a vehicle. The small concentrated field width of each of the wheel assembly loops 320 and 322 is obtained by controlling the spacing between the wire turns. Preferably, the spacing ranges between four and seven inches. The wheel assembly loops are designed in accordance with the range of ground clearance present in the vehicle population. Preferably, the single wire that is used to form each wheel assembly loop is looped at least twice, thus creating two overlapping layers of wire for each wheel assembly loop.

[00143] Design of wheel assembly loops 320 and 322 depends on a number of factors. The factors include characteristics of vehicles anticipated for the toll lane at which the loop is to be installed. The characteristics include number of axles, distance between axles, speed of vehicle through the toll lane, height of chassis from top of roadway, and other attributes of vehicles detectable by inductive loops.

[00144] Vehicle separation loops 340 and 342 are designed to be used to gain additional information on the target vehicle. For example, vehicle separator loops 340 and 342 can determine the beginning and end of a vehicle by analyzing the percent in change of inductance. Also, the magnitude of the percent change in inductance is proportional to the chassis size and distance from the vehicle separation loops 340 and 342. In addition, vehicle separation loops 340 and 342 can be used to, as it's name suggests, “separate” each vehicle one from another.

[00145] The use of vehicle separation loops 340 and 342 provides vehicle presence, vehicle speed, and chassis length information. A special signal discriminator is preferably provided with the two processed signals received from vehicle separation loops 340 and 342. Preferably, the signal discriminator processes this information and compares the vehicle speed, chassis length, axles, and chassis height information being collected from vehicle separation loops 340 and 342. The signal discriminator considers several factors during this process. For example, the percent in the change of inductance is used to sense the beginning of a vehicle and the end of a vehicle. Also, the magnitude of the percent change in inductance is proportional to the bottom chassis height and distance from each of the loops. For example, a motorcycle being followed closely by a car or truck would have a significant difference in the percent of inductance change. The movements or speed of the vehicle is also measured on each of these loops. The movements or speed of the vehicle is determined as a function of percent change of inductance over time. The function of these two factors is used to calculate the speed of the vehicle. When the vehicle is not moving or static the percent change in inductance becomes constant.

[00146] These constant values for the percent change of inductance appear as flat horizontal lines when displayed on an inductance vs. time plot in which the Y-axis represents the percent change in inductance and the X-axis represents time. A single vehicle or a vehicle towing another vehicle will normally maintain the same speed. When two vehicles are following each other in close proximity, the vehicles typically have somewhat different speeds or start and stop independently of each other. The signal discriminator measures these differences to separate the vehicles. Also the length of the vehicle chassis is calculated to determine if it is a single vehicle.

[00147] Again, this processor is unique since it performs this function independently, provides outputs and transfers the information within the IVIS. This information can be used to provide volume counts. This process can be used in tolling or other applications to replace light curtains, optical scanners, video detectors, and microwave detectors.

[00148] A single vehicle or a vehicle towing another vehicle will normally maintain the same speed. When two vehicles are following each other in close proximity, the vehicles typically have different speeds. Vehicle separation loops 340 and 342 measure these differences to separate the vehicles. Also, the length of the vehicle chassis is calculated to verify the existence of one or multiple vehicles. Accordingly, vehicle separation loops 340 and 342 can be used in the tolling application to replace light curtains, optical scanners, video detection, and microwave detectors that are currently in use.

[00149] The loop signal processor and discriminator (LSP&D) unit preferably has two or more channels of detection that compares the information processed on a continuous basis to determine when a vehicle ends and when a new vehicle starts. The end of the vehicle is used to end the collection of the transaction information. The LSP&D has the ability to determine the beginning of a vehicle, the end of a vehicle and distinguish when two vehicles are traveling in close proximity to each other and/or a vehicle is towing another vehicle. The LSP&D processes information from two loops and compares the information to determine if the information represents a single vehicle or multiple vehicles. When the end of the vehicle is determined the processor can set a timer based on the speed of the vehicle.

[00150] In a different arrangement in which loop 342 is an enforcement loop, as the timer completes its countdown, violation enforcement camera 370, which is in communication with enforcement loop 342, receives the signal output to take a picture.

[00151] Enforcement loop 342 is designed to work with camera 370 as part of a violation enforcement system. If a vehicle leaves separation loop 340 before the fare is collected at payment point 390, camera 370 takes a photograph of the vehicle when the vehicle triggers enforcement loop 342. Preferably, camera 370, enforcement loop 342, vehicle separation loop 340, and payment point 390 are located such that the photograph would clearly show the license plate of the vehicle.

[00152] Intelligent vehicle identification unit 270 in one embodiment of the present invention may be an assembly of electronic equipment and software that can control other equipment, store vehicle information, and distribute vehicle information to other devices or remote locations using an integrated remote access. Intelligent vehicle identification unit 270 can be adapted to assemble collected data from classification loop array 300 and one or more of vehicle separation loops 340 and 342 to create a composite signature information for the vehicle. One exemplary composite signature is shown in FIG. 21.

[00153] This collective body of profile information can include tire information, axle count, axle spacing, chassis height, chassis length, and vehicle speed. The vehicle record is associated with a vehicle type or combination vehicle type (i.e., motorcycle, car, car with trailer) from a database or vehicle library of available signatures. The database is accessible to intelligent vehicle identification unit 270. The vehicle type is then placed into a toll category, defined by the toll authority, to generate the proper fare for the vehicle. This is then used to drive the toll system, prompting the toll attendant when using a manual embodiment, or notifying the driver of the vehicle when using an automated embodiment, of the proper fare which is due.

[00154] Again, the vehicle types and categories are definable by the toll authority. Each vehicle type is placed in a category using the graphical user interface associated with intelligent vehicle identification unit 270. The graphical interface includes a library of vehicle types or vehicle combinations using captured digital images of the local vehicle population. The user interface may be a local interface, e.g., local interface 272. The user interface may also be a remote interface, e.g., remote interface 274. The visual interface allows the assignment of the magnetic and/or inductive composites of the vehicle records into different categories by selecting from a menu of captured images. The graphical user interface is a display of digital images of different vehicle categories that are used to represent groups of vehicle types. A group of these categories make up a vehicle library. New vehicle types can be added to the intelligent vehicle identification unit by incorporating the captured image and vehicle signature into the vehicle library. Exemplary screenshots of the vehicle library are shown as FIGS. 17-20.

[00155] An intelligent vehicle queuing system of the present invention can be used to insure proper matching of designated toll amounts to each vehicle. The queuing system profiles the approaching vehicle at payment point 390 and compares the data with the profile information held in queue by intelligent vehicle identification unit 270. If the profile is found to be an incorrect match, intelligent vehicle identification unit 270 attempts to properly match the indicated profile with other vehicles waiting in queue, thus insuring that the profiled vehicle is properly associated with the system's indicated amount of fare.

[00156] FIG. 4 is a schematic diagram illustrating another embodiment of the present invention as implemented in a toll road application. In this embodiment, classification loop array 400 comprises front wheel assembly loop 410, signature loop 420, and rear wheel assembly loop 412. Furthermore, the embodiment shown in FIG. 4 comprises intelligent queue loop 430 and enforcement loop 440, payment point 490, rear view camera 470, and front view camera 472. These components are laid out such that rear view camera 470 and front view camera 472 can capture a photograph for vehicle violation enforcement purposes.

[00157] FIG. 5 is a schematic diagram illustrating another embodiment of the present invention as implemented in a toll road application. In this embodiment, classification loop array 500 comprises one or more bi-symmetrical offset wheel assembly loops 510 and 530. Each of the bi-symmetrical offset wheel assembly loops 510 and 530 has a left member and a right member. For example, front bi-symmetrical offset wheel assembly loop 510 includes left member 512 and right member 514. Similarly, rear bi-symmetrical offset 530 comprises left member 532 and right member 534. Each of the bi-symmetrical offset wheel assembly loops 510 and 530 preferably has a leading edge offset and a trailing edge offset.

[00158] The offset of the left member and the right member of each of these bi-symmetrical offset wheel assembly loops is designed to capture left wheel information and right wheel information at two different instances in time. A more accurate average speed, axle separation, and other axle information can be calculated based on data collected by these bi-symmetrical offset wheel assembly loops 510 and 530.

[00159] As indicated in FIG. 5, classification loop array 500 can work with additional loops 540 and 542. As used in different arrangements, one or both additional loops 540 and 542 may be an intelligent queue loop, a vehicle separation loop, an enforcement loop, and a gate loop.

[00160] One or more of additional loops 540 and 542 can be adapted to work with camera 570 and payment point 590. A photograph of a vehicle can be captured for violation enforcement purposes if an appropriate fare is not received at payment point 590 when the vehicle is detected by additional loops 540 and 542.

[00161] FIG. 15 is a diagram showing a view from a payment point indicating that as vehicle 1520 approaches the payment point that is associated with toll lane 1500, vehicle 1520 is classified and a fare is determined and shown on display 1510 without input from a toll attendant.

[00162] FIG. 16 is a screenshot of display 1510 indicating classification 1612 for vehicle 1520 and fare 1614, which is associated with classification 1612. As indicated on FIG. 16, display 1510 can be adapted to display a number of records associated with a transaction. Areas 1610 comprises fields 1610-1618. Field 1612 can display the class or category of vehicle 1520 as identified using the profile information of vehicle 1520. Field 1614 can be used to display the fare associated with the classification shown in field 1612. In addition, fields 1616 can be used to display an axle count associated with vehicle 1520. Field 1618 can be used to indicate whether the fare has been received at a payment point associated with toll lane 1500.

[00163] Area 1620, which comprises fields 1622 through 1632, can be used to display specifics of the transaction. For example, field 1622 is used to indicate that lane 1500 is Lane No. 3 of the particular toll plaza. Field 1624 can be used to indicate which shift of workers is on duty. Fields 1626, 1628 can be used to display the time and date on which the transaction occurs. Field 1630 can be used, for example, to indicate the status of a toll gate or other status of the toll lane. Field 1632 can be used to indicate which, if any, toll attendant is on duty. This information can be used to increase accountability among toll attendants.

[00164] In some embodiments, field 1640 can be used to manually operate a toll gate by a toll attendant. In an embodiment in which a toll attendant is staffed at toll lane 1500, field 1650 can be adapted to close the transaction after the toll attendant verifies that the toll has been paid. Field 1660 can be adapted, for example, to be pressed by the toll attendant in a situation in which classification made by the IVIS is verified by the toll attendant. Finally, a toll attendant or an operator of the vehicle can press a field 1670 to obtain a receipt.

[00165] In FIG. 26, as vehicle 120 travels in direction 130 along toll lane 100 and passes over classification loop array 2600, vehicle 120's profile information is collected by intelligent vehicle identification unit 2670. Intelligent vehicle identification unit 2670 organizes the raw profile data and generates a classification for vehicle 120. As vehicle 120 then passes over the intelligent queue loop 2640, a second set of profile information is gathered by intelligent vehicle identification unit 2670. This profile is matched with profiles in queue generated by the classification loop array 2600. Intelligent vehicle identification unit 2670 then forwards the proper classification and/or toll amount to toll system interface 2672 as the vehicle approaches the payment point.

[heading-00166] Overview of the Present Application

[00167] Among other things, the present CIP application discloses additional design and configurations of loops that can be adapted for use in conjunction with the IVIS disclosed in the '937 application. The present CIP application further provides methods for installing the loops. The loops associated with the present CIP application are referred to hereinafter as ferromagnetic loops. It is noted that the present invention is not limited to vehicles identification and classification although the preferred embodiments disclosed herein relate to such purposes.

[00168] In a specific implementation for vehicle detection applications, the present invention provides a ferromagnetic loop that is installed on a travel path for detection of vehicles moving in a direction along the travel path. In the specific implementation as shown in FIG. 27, ferromagnetic loop 2700 is characterized by continuous wire 2702, which is shaped in a serpentine manner within footprint 2704. FIG. 40, which is described further below, demonstrates the serpentine characteristics of continuous wire 2702. Footprint 2704 has footprint length dimension 2706, which is parallel to direction 2710 and footprint width dimension 2708, which is perpendicular to direction 2710. Continuous wire 2702 forms multiple contiguous polygons 2712 within footprint 2704. Each of multiple contiguous polygons 2712 is characterized by polygon length dimension 2716 that is parallel to direction 2710 and polygon width dimension 2718 that is perpendicular to direction 2710. Polygon length dimension 2716 may also be referred to as a spacing dimension. Loop 2700 has lead-in 2714. Lead-in 2714 connects loop 2700 to loop detector 2720. A frequency associated with ferromagnetic loop 2700 is affected when a vehicle (not shown) moves across footprint 2704 in direction 2710. Loop detector 2720 is adapted to output frequency vs. time plots based on information received from loop 2700.

[00169] In one preferred embodiment, each polygon width dimension 2718 is substantially equal to footprint width dimension 2708 and a sum of all polygon length dimensions 2716 is substantially equal to footprint length dimension 2706. In one embodiment, all polygon length dimensions 2716 are equally long. In a different embodiment, at least one of polygon length dimensions 2716 is longer than at least one other polygon length dimension 2716. In other words, the spacing dimension between any two contiguous polygons may be the same or vary. For toll road implementation purposes, footprint length dimension 2706 can range from about 10 inches to about 56 inches. Footprint width dimension 2708 can range from about 24 inches to about 144 inches. Preferably, polygon length dimension 2716 ranges from about three inches to about eight inches. Preferably, polygon width dimension 2718 ranges from about 24 inches to about 144 inches.

[00170] A ferromagnetic loop of the present invention such as loop 2700 can be adapted to collect a large variety of information associated with vehicles that move over it. Specifically, the ferromagnetic loop can, among other things, detect the spacing or the distance between two successive wheel assemblies of a vehicle, count the total number of wheel assemblies associated with the vehicle, calculate the vehicle speed, and determine a category of the vehicle based on the characteristics of the vehicle. The ferromagnetic loop is designed to maximize the detection of the wheel assemblies while minimizing the detection of the vehicle chassis. As a result of its enhanced capabilities for detection of wheel assemblies, the ferromagnetic loop can be adapted for use in, among other applications, traffic law enforcement, toll road operations, vehicle classification for data collection, and traffic management. One unique characteristics of the ferromagnetic loop of the invention is that one single loop can be used to replace the combination of piezo electric or resistive axle sensors, road tube, treadles, and multiple figure-of-eight or dipole axle loops that are currently used to detect wheels and axles.

[heading-00171] Review of Various Wheel Sizes

[00172] FIG. 28 is a schematic diagram showing different wheel sizes of typical vehicles that can be found on the highways. As illustrated in FIG. 28, the length of the bearing surface of each wheel (e.g., lengths 2814, 2824, and 2834) is proportional to the diameter of the wheel. Similarly, the chassis height of the vehicle (e.g., heights 2812, 2822, 2832) is also proportional to the diameter of the wheel and the length of bearing surface. Three typical wheel sizes found in random traffic are illustrated in FIG. 28. Automobile wheel 2810 is smaller than pickup truck wheel 2820, which is smaller than large truck wheel 2830. Automobile chassis height 2812 is shorter than pickup truck chassis height 2822, which is shorter than large truck chassis height 2832. Similarly, bearing surface length 2814 for automobile is shorter than bearing surface length 2824 for pickup truck, which is shorter than bearing surface length 2834 for large truck.

[00173] As shown in Table 1 below, the range for vehicle wheel diameters as found in random traffic can range from about 12 inches to about 44 inches in diameter. Typical length of a tire bearing surface or the length of contact area of a vehicle tire with the road can range between about 6 inches and about 12.5 inches.

[00174] Table 1 below summarizes selected categories of vehicles and their associated dimensions.

[00002]

TABLE 1
Type of	Typical Wheel	Typical Chassis	Typical Bearing
Vehicle	Diameter (inches)	Height (inches)	Surface (inches)
Trailers	12 to 26	6	6
Motorcycles	12 to 23	6	9
Automobiles	23 to 26	7	8
Pick-ups and	26 to 30	9	9
SUVs
Light trucks	30 to 32	12	10
Large trucks	40 to 44	15	12.5

Review of Existing Inductive Loops Technology

[00176] During the development of the ferromagnetic loops of the present invention, the inventors conducted a series of tests to evaluate inductive response that are obtainable by existing loop designs. For example, the inventors evaluated the performance of the inductive loops disclosed in U.S. Pat. No. 5,614,894 issued to Daniel Stanczyk on Mar. 25, 1997 (hereinafter “the Stanczyk patent”). In addition, the inventors evaluated the performance of the loop designs disclosed in WIPO Publication Nos. WO 00/58926 and WO 00/58927 (both published on Oct. 5, 2000) (hereinafter “the Lees applications”). The results of these tests and evaluations are described below.

[00177] In each of the tests conducted, the same loop detector was used to measure the results. In other words, no operating changes was made to the loop detector from test to test. Thus, the only variable that existed during the tests was the design of each of the loops being tested. The objective was to understand the technology disclosed in the Stanczyk patent and the Lees applications. Specifically, the limitations of these known technologies for detecting and counting vehicle wheels in random traffic were evaluated.

[00178] To illustrate the effectiveness of the loop designs disclosed in the Stanczyk patent and the Lees applications, and to demonstrate advantages of the present invention, the inductance changes obtained from each technology were plotted using the same loop detector. Each of the graphs or plots disclosed herein represents the changes in the loop circuits as a plot of frequency on the Y axis and time on the X axis. In other words, each of these graphs illustrates the effect of a vehicle traveling over a loop in a traveling lane.

[heading-00179] The Stanczyk Patent

[00180] The Stanczyk patent discloses inductive loops having a rectilinear shape. Loops 2910, 2920, and 2930 shown in FIG. 29 illustrate typical rectangular shapes of this loop geometry. Each of the rectilinear loops consists of one or several turns of wire.

[00181] Loop 2910, which has a wider width dimension 2916, can detect the wheels from the left and right sides of a vehicle traveling on roadway 2902 in direction 2904. Loops 2920 and 2930 (each having a narrower width 2926) are designed to detect separately the left wheels and the right wheels of the vehicle. The Stanczyk design uses an ideal loop length 2908 of 0.3 meter (11.81 inches) for heavy vehicles and 0.15 meter (5.91 inches) for light vehicles. Each of these loop length dimensions is shorter than the bearing surface length of the vehicle wheels to be detected. This design provides a short travel time as wheels move through the inductive field of the loop, and it limits the sample size available for the wheel detection. Dimension 2908 affects the field height of the loop circuit. If dimension 2908 of this loop design is increased to a size larger than the diameter of the wheels it is designed to detect the field height of the loop detection is also increased. This is a limitation to the Stanczyk patent because when length dimension 2908 is increased, a stronger detection of the vehicle chassis is resulted, which inhibits the detection of wheels.

[00182] Therefore, the loop disclosed in the Stancyzk patent is limited by its geometric design since its performance is dependent on the bearing surface of the wheel of the vehicles being detected. In random traffic, vehicles have wheels that range from 12 inches to 40 inches in diameter with bearing surface widths ranging from six to 12.75 inches. To properly detect all the different vehicle wheel sizes in random traffic, multiple rectilinear loops of the Stancyzk patent would be required in the roadway. In other words, multiple loops each with a different length dimensions 2908 would be required to provide wheel detection for all vehicles that exist in random traffic. Using the technology disclosed in the Stancyzk patent, a single loop size will not work on both large wheeled trucks and smaller wheeled vehicles. For example, when a loop that has a specific length dimension 2908, which is designed to detect a tire bearing surface of 12 inches, the loop cannot be used to detect tires with a bearing surface of 7.5 inches long.

[00183] FIGS. 29A-29C are frequency vs. time plots obtained from the use of a rectangular loop in accordance with the teaching of the Stanczyk patent. The rectangular loop that was used to generate plot 2942 shown in FIG. 29A was 10 feet wide by 10 inches long and it had two turns. When a car with a tire diameter larger than 10 inches traveled over this loop, eddy currents created by the car chassis were detected by the loop. As shown on plot 2942 in FIG. 29A, it was impossible to determine the presence of wheel assemblies of the car due to strong detection of the chassis.

[00184] Similarly, plot 2944 shown in FIG. 29B illustrates the detection of a pickup truck (with a tire diameter of 26 inches) traveling over the same loop. Again, the detection of the vehicle wheels was impossible because the eddy currents created by the chassis could not be separated. This explains why the length of the loop circuit, or dimension 1 as shown in FIG. 1 of the Stanczyk patent must be smaller than the diameter of the wheel being detected. (See Stanczyk patent, Abstract and col. 2, lines 61-64.) This is because when the length of the loop (dimension 2908 shown in FIG. 29 of the present invention or dimension 1 shown in FIG. 1 of the Stanczyk patent) is increased to a size larger than the diameter of the wheel being detected, the loop senses the chassis of the vehicle, making it impractical to be used as a sensor for counting wheels. Plot 2946 shown in FIG. 29C further illustrates this observation as a vehicle having a wheel diameter of 24 inches was detected using a loop 10 feet wide by 20 inches long. As indicated in FIG. 29C, wheel assemblies of the vehicle were not discernable on plot 2946 even though the loop length has not exceeded the wheel diameter of 24 inches.

[00185] Plot 2948 shown in FIG. 29D demonstrates that vehicle wheels can be detected if the loop length (dimension 2908) is significantly shorter than vehicle wheel diameter. In FIG. 29D, the rectangular loop was 10 feet by 20 inches and the pickup truck had a wheel diameter of 29.5 inches. The tire bearing lengths for the rear and front wheels were 9.75 inches and 10.25 inches, respectively. As shown in FIG. 29D, the front and rear wheel assemblies are discernable from plot 2948 because the frequency fluctuation associated with the wheels on the pickup truck can be distinguished from the frequency associated with the chassis eddy currents. Plot 2950 shown in FIG. 29E illustrates a parcel delivery truck (with a wheel diameter of 30 inches) traveling over a loop 10 feet wide by 20 inches long. Even though the wheel assemblies were detected, the eddy currents from the chassis were also detected. Thus, while the loop was suitable to detect a smaller wheel, it can not be used to detect larger wheels without also detecting the vehicle chassis of the vehicle with large wheels. Therefore, FIGS. 29D and 29E indicate that more than one loop size would be required to detect the various wheels sizes found in random traffic.

[00186] Accordingly, the rectilinear design of the Stanczyk patent has geometric constraints that limit the size of sample or sensing area. This limits the sample length of the each wheel and prevents the ability to accurately measure the speed of the vehicle. When the length of the loop is increased, the field height increases and eddy currents also increase making this design not practical to calculate wheel speed on a single loop. As indicated in the Abstract and in at least Col. 2, lines 61-64, the Stanczyk patent specifically teaches that the length of the loop must be smaller than the diameter of the wheel. The preferred length of the loop tends to be limited to the bearing length of the tire, or the tire bearing lengths tend to be longer than the loop length, to provide distinct wheel detection.

[00187] In addition, the rectangular design of the Stanczyk patent uses multiple turns of wire around the perimeter, and the design is limited to a length that is shorter than the diameter of the wheel it is detecting. As the length of the loop is made small, the loop would detect smaller vehicles but not larger ones.

[00188] In contrast to the Stanczyk patent, as explained below, the ferromagnetic loop of the present invention offers greater flexibility in size and shape of the loop geometry and provides a longer travel area for the wheel paths. As explained below, a single ferromagnetic loop of the present invention is capable of detecting different size wheels found in random traffic. Significantly, the length of a ferromagnetic loop of the present invention can be greater than the diameter of the wheel being detected. Thus, it is possible to use a single ferromagnetic loop of the present invention to detect the entire population of wheels in random traffic. The loop can also detect the difference between single-tire and dual-tire assemblies. Also, the longer loop sample time associated with the ferromagnetic loop provides the ability to calculate speed using just a single loop.

[heading-00189] The Lees Applications

[00190] The figure-of-eight loop design (also referred to hereinafter as the dipole loop design) disclosed in the Lees applications has a central winding, with the two outer segments in the direction of travel having a length shorter than about 23.6 inches (or about 60 cm), and preferably about 17.7 inches (or about 45 cm). FIG. 30 illustrates the typical loop geometry in accordance with the Lees applications. Loop 3010 illustrates the use of a single loop to detect both left and right wheels of the vehicle. Loop 3010 has front segment 3011 and rear segment 3012. Loops 3020 and 3030 are used to separately detect the left wheels and the right wheels, respectively. Each of loops 3020 and 3030 also has a front and a rear segments.

[00191] A figure-of-eight loop similar to loop 3010 with dimensions 10 feet wide by 18 inches long (i.e., each front segment 3011 and rear segment 3012 is nine inches long), built and installed in accordance with the Lees applications, was used for evaluation purposes by the inventors. Plot 3042 shown in FIG. 30A is a frequency versus time plot that was obtained during the detection of a car traveled traveling over the loop. As shown on plot 3042, the detection of wheels was not well defined. The same loop was used to detect the wheels on a pickup truck with a larger wheel diameter. As indicated by plot 3044 shown in FIG. 30B, a loop of this size provided improved wheel detection on the larger size wheels. As indicated by plot 3046 shown in FIG. 30C, this loop size also provided good wheel detection on truck wheels having a diameter of 30 inches. The truck associated with FIG. 30C had dual wheel assemblies on the rear axle. The 10 feet wide by 18 inches long loop detected the wheels on the truck but does not reflect any difference in amplitude from the front to the rear dual tires.

[00192] For the dipole (figure-of-eight shape) loop with the dimensions of 10 feet by 18 inches, the test results indicated that it is not suitable for detection of small-wheeled vehicles. The wheels are not clearly defined in plots generated by this loop because the chassis of vehicles with small wheels lowers the frequency of the loop circuit.

[00193] As further explained below, the ferromagnetic loop of the present invention is different from the loops disclosed in the Lees applications since the geometry allows the loop's length to be longer than the diameter of the wheel to be detected. Furthermore, a single loop design can detect the different wheel sizes. It should be noted that the design of the present invention also has the ability to detect dual wheels. The amplitude of the front wheel can be compared to the rear wheel to determine the presence of dual tires on the rear axle using the ferromagnetic design of the present invention.

[00194] Plot 3048 shown in FIG. 30D shows the detection of a car traveling over a five feet wide by 18 inches long dipole loop (e.g., loop 3020). As shown in FIG. 30D, wheels of the car were not properly detected using a loop of this size. Plot 3050 shown in FIG. 30E shows that a five feet wide by nine inches long loop was able to detect the same wheels that were not detected in FIG. 30D. FIGS. 30D and 30E demonstrate that different lengths of the dipole loop were required to detect different wheel sizes.

[00195] FIG. 30F illustrates the use of inductive loops with a “coil within a coil” design. The design includes a left pair of loops 3070 and a right pair of loops 3080 to count wheels. Each pair of loops 3070 and 3080 includes a smaller dipole loop nine inches long (dimension 3067) and approximately five feet wide (dimension 3066) and a larger dipole loop 18 inches long (dimension 3068) and approximately five feet wide (dimension 3066). A total of four wheel loops were used per lane and therefore four lead-ins 3040 are indicated. When each loop used in this wheel detection design was examined on an individual basis, the results indicated that the smaller loop nine inch long detected small wheels of cars and the larger loop 18 inches long detected larger wheels.

[00196] For the smaller dipole loop with the dimensions of nine inches by five feet, the test results revealed that this loop design has a low field height with a stronger field in the center of the loop. Thus, the ability to detect wheels on vehicles was biased to small vehicle wheels, which are normally found on cars and small trailers. Accordingly, this loop design does not detect the wheels of vehicles with larger diameters, such as those found in pickup trucks, small trucks, and other larger vehicles.

[00197] For the larger dipole loop with the dimensions of 18 inches by five feet, the test results revealed that this loop design has a slightly higher field height with a stronger field in the center of the loop. The detection of wheels on small vehicles (e.g., cars) was not very clear, however, because the higher field found in this loop design was influenced by the chassis of the vehicle. This influence caused the frequency of the loop circuit to be lowered. The wheels were not clearly defined since the chassis effect and the wheel effect tend to cancel each other out. However, this design does provide better detection of vehicles that have larger wheels and more ground clearance.

[00198] Thus, the “coil within a coil” design (i.e., a smaller loop with dimension 3067 located within a larger loop with dimension 3068) as referenced in the Lees applications relies on two separate loop sizes to detect smaller and larger wheels. The use of four loops per lane is designed to detect the entire vehicle population, but the arrangement is dependent on both the nine and 18 inches long dipole loop design to detect the different sizes of the wheels found in the vehicle population. Also, these designs have a smaller dimension in the direction of travel than the wheel diameters. This provides a short signal sample rate from the wheels.

[00199] In contrast, and as explained below, the ferromagnetic loop of the present invention requires only a single loop to detect all the different wheel sizes that exist in random traffic. The ferromagnetic loop design also has the ability to provide wheel detection and vehicle speed on the same loop.

[heading-00200] Ferromagnetic Loops of the Present Invention

[00201] Various configurations and designs of the ferromagnetic loops disclosed herein can be used for difference purposes. One exemplary purpose of the preferred embodiments of the invention, as described below, is to detect, identify, and classify vehicles. In the preferred embodiments, the ferromagnetic loop is adapted to communicate with a signal-processing device (e.g., a loop detector) to generate an electromagnetic field in a traveling path of a vehicle, measure the changes in frequency and inductance associated with the vehicle passing over the ferromagnetic loop, and output the results. The results can be used to determine, among other things, various characteristics of the vehicle including, for example, number of axles, distances between axles, and speed.

[00202] A preferred embodiment of the ferromagnetic loop has a unique loop geometry that provides a flux field. The loop circuit and geometry creates a flux field that responds to the ferromagnetic loop effect of wheel assemblies on vehicles. This ferromagnetic effect results in an inductance increase and frequency increase that can be detected by a loop signal-processing device (e.g., loop detector 260 shown in FIG. 2) in communication with the ferromagnetic loop. The changes in inductance and frequency can be quantified and used for characterization of vehicles.

[00203] Key elements of the ferromagnetic loops of the invention include the magnetic strength of the flux field height and length. The shallow installation of the wire and wire orientation of the coil in permanent and temporary installations is very important for optimal performance of the ferromagnetic loop design. The flux field created by the loop circuit is concentrated and low to the road surface to maximize the ferromagnetic effect of the wheel assemblies and minimize the eddy currents created by vehicle chassis.

[00204] The increase in inductance is detected by the ferromagnetic loop and the information can be used to count wheel assemblies. The ferromagnetic effect occurs when a ferrous object is inserted into the field of an inductor and reduces the reluctance of the flux path and therefore, increases the net inductance and frequency. This loop design and geometry responds to the wheel assemblies in this manner.

[00205] The geometry of the loop wire turnings can be oriented in different directions relative to the direction that vehicles travel in order to vary the response of the loop sensor to the vehicle wheels. The geometry and orientation of the loop wires can be designed to minimize ground resistance. For example, as the presence of reinforcing steel (a ferrous material) affects the magnetic field of the loop, the orientation of the lines of flux created by the loop geometry can be changed to minimize the environmental influences of the reinforcing steel. This is reflected in the wire turnings that are diagonal to the travel direction of the vehicle and diagonal to the typical orientation of reinforcing steel used in pavement design. This is an important design feature since it can help to reduce the magnetic influences that reinforcing steel has on the lines of flux created by the loop and improve the loops circuit response to wheels assemblies.

[00206] The ferromagnetic loops as disclosed herein provides a number of improvements over existing inductive loops. For example, the ferromagnetic loops can be made to have various unique geometric shapes and coil spacing (of the wire used in the wire turnings) to obtain a desirable flux field. Preferred embodiments of the ferromagnetic loops of the invention include the following characteristics:

[00207] A unique design of molded loops that incorporates a locking mechanism or an anchor to secure the loops in permanent installations.

[00208] A design of a single loop that has the ability to detect vehicle wheel assemblies and provide the distinction between single tire assemblies, dual tire assemblies, and grouped axles.

[00209] A design that is capable of providing wheel speed, vehicle speed, axle spacing, number of axles, and vehicle classification with a single loop.

[00210] A unique sensor arrangement and sensor spacing using two ferromagnetic loops that pairs two axle vehicles together by providing loop detections on both loops at the same time or in extremely close proximity of each other therefore greatly simplifying the vehicle classification process in congested traffic.

[heading-00211] Disclosure of Preferred Embodiments

[00212] FIG. 31 is a schematic diagram illustrating a layout of two ferromagnetic loops of the invention. Path 3102 is a roadway on which vehicles travel in direction 3104. Path 3102 may be a toll lane, a driveway, the entrance to a parking garage, a high-occupancy (HOV) lane, and the like. Gradient diagonal loop 3110 and regular diagonal loop 3120 are located on path 3102 in such a way that one or more of the wheel assemblies of a vehicle will pass over loops 3110 and 3120 when traveling on path 3102 in direction 3104. Although shown together in FIG. 31, only one of loops 3110 and 3120 is sufficient to implement the invention.

[00213] In this embodiment, each of loops 3110 and 3120 has wire turnings that are oriented in a diagonal manner relative to direction 3104. Note that each of polygonal axis 3111 and polygonal axis 3121 forms angle A with direction 3104. In other words, the contiguous polygons confined with a footprint of the loop form angle A with the direction. Angle A can range between zero and 90 degrees. Specifically, angle A can be, for example, 30 degrees, 45 degrees, or 60 degrees. The diagonal orientation of the wire turnings helps null or minimize the environmental influences that reinforcing steel has on the lines of flux (to the extent that the reinforcing steel are present and embedded within path 3102).

[00214] Note that gradient diagonal loop 3110 and regular diagonal ferromagnetic loop 3120 have different loop configurations. Regular diagonal loop 3120 has uniform spacing dimensions 3124 between wire turnings. In other words, the parallel diagonal lines within the footprint of loop 3120 have the same distance from each other. This uniform loop spacing provides detection in random traffic but can be designed for detection of specific wheel sizes. For example, the spacing can be one that which is optimum to detect the presence of a tractor-trailer in a traffic lane in which tractor-trailers are prohibited. Gradient diagonal loop 3110 is characterized by varying spacing dimension 3114, which are represented by different widths of spacing between the parallel diagonal lines within the footprint of loop 3110. The different spacing used in loop 3110 improves the loop circuit field by increasing the sensing range from small to large wheels on a single ferromagnetic loop design. The shorter or narrow sections detect small wheel assemblies and the longer or wider sections detect larger wheels. The gradient loop configuration is suitable for detecting a wide range of vehicle categories. Preferably, spacing dimensions 3114 and 3124 ranges between about three inches and about eight inches.

[00215] Loops 3110 and 3120 are associated with lead-ins 3112 and 3122, respectively. Lead-ins 3112 and 3122 are in communication with one or more loop detector, a device previously disclosed in the '937 application (e.g., detector 260 shown in FIG. 2).

[00216] FIG. 31A is a schematic diagram illustrating gradient diagonal loop 3110 in greater details. As shown in FIG. 31A, loop 3110 has width W. A typical dimension for width W is about 10 feet. Width W can vary depending on specific applications. Leading edge 3114 and trailing edge 3116 are separated by length L. A typical length L is about 32 inches. Depending on specific applications, the separation between leading edge 3114 and trailing edge 3116 (i.e., length L) can vary. For example, distance L can be longer or shorter than 32 inches.

[00217] In the specific embodiment shown in FIG. 31A, wire turnings 3118 (the diagonal lines within the footprint of loop 3110) are parallel, and each of wire turnings 3118 forms an angle A with respect to leading edge 3114 and trailing edge 3116. Angle A can range between zero and 90 degrees. For example, angle A can be about 30 degrees. In addition, wire turnings 3118 have at least two spacings. Wider spacings 3111 can be about seven inches wide between two adjacent wire turnings 3118. The spacing is suitable for detection of larger vehicles such as buses, large trucks and the like. Narrower spacing 3113 can be about 3.5 inches wide between two adjacent wire turnings 3118. This spacing is suitable for smaller vehicles such as trailers, small cars, SUV, pick up trucks, and the like.

[00218] FIG. 31B is a schematic diagram showing the unique installation of the wire coils. Wire turnings 3118 are installed in slots 3130 in path 3102. Slots 3130 can be about 0.5 to about 0.75 inches wide and about one inch deep. Note that wire turnings 3118 are installed parallel to the surface of path 3102 and laid side-by-side with each slot 3130 (see also FIG. 41).

[00219] FIG. 32 is a schematic diagram illustrating another embodiment of the invention. This layout is preferable in locations that require a wider detection area. For example, this layout is desirable if traveling path 3202 is greater than 11 feet wide. As shown in FIG. 32, each of ferromagnetic loops 3210 and 3220 contains more than one portion or segment. For example, left ferromagnetic loop 3210 includes right segment 3212 and left segment 3214. Similarly, right ferromagnetic loop 3220 includes right segment 3222 and left segment 3224. This design provides a wider area of detection without using additional wire in central regions 3213 and 3223. This two-segment design provides detection in two wheel paths. In other words, each of right segments 3212 and 3222 detects the right wheels of a vehicle traveling in direction 3204. Similarly, each of left segments 3214 and 3224 detects the left wheels of the vehicle traveling in direction 3204.

[00220] The ferromagnetic loop is designed to detect primarily the wheel assemblies by providing an increase in the frequency and inductance of the loop circuit thereby maximizing the ferromagnetic effect. The design provides detection of the entire range of wheel sizes illustrated in FIG. 28 using a single loop circuit. The loop is designed to have a low field height that minimizes the eddy currents created by the chassis traveling through the coils field of flux.

[00221] The ferromagnetic effect of the present invention is illustrated in frequency vs. time plots shown in FIGS. 33, 33A, 34, 35, 36, 37, and 38. It is noted that these plots and subsequent plots disclosed herein were produced using the same signal-processing device that was used to generate the plots shown in FIGS. 29A, 29B, 29C, 29D, 29E, 30A, 30B, 30C, 30D, and 30E. No adjustments were made to the signal-processing device for generating the plot shown in FIG. 33 and the subsequent plots, which are described in Example Numbers 1 through 46 below. The only variable was the loop circuit and the geometry of the loop circuit. The scale for each of these plots is 5.5 milliseconds per point on the time or X-axis. The Y-axis represents the resonant frequency (in Hertz) of the loop circuit. The information presented in each of these plots was provided as a serial output using a sample time of 5.5 milliseconds. The information can also be made available as a discrete output from the signal-processing unit to be processed to count wheel assemblies.

[00222] Plot 3300 shown in FIG. 33 illustrates the detection of an automobile. The time that the front wheels of the automobile were detected occurred between point 3302 (where x1=228 and y1=80078) and point 3304 (where x2=274 and y2=80104) on plot 3300. This represented a detection sample length that was 253 milliseconds long (i.e., (x2−x1) multiplied by 5.5) and a change in frequency of 26 hertz (i.e., y2−y1). The time that the rear wheels of the car were detected occurred between point 3306 where x3=348 and point 3308 where x4=390 on plot 3300. This represented a sample length of 227 milliseconds and a frequency change of 33 hertz.

[00223] Plot 3310 shown in FIG. 33A demonstrates the detection of a smaller car with a lower ground clearance that passed over the same ferromagnetic loop discussed in Example No. 1. As shown on plot 3310, the first wheel was detected between points where x1=830 and x2=928, with a sample length of 539 milliseconds and a frequency change of 35 hertz. The second wheel was detected between points where x3=1214 and x4=1317, with a sample length of 566 milliseconds and a frequency change of 38 Hertz. The eddy currents created from the chassis were detected between points where x2=928 and x3=1214, which had the opposite effect, which lowered the frequency by 23 hertz.

[00224] Plot 3400 shown in FIG. 34 demonstrates the detection of the wheel assemblies of a pickup truck traveling at 10 mph over the same loop. The front wheel assemblies were detected at the between points where x1=1795 and x2=1850. This represented a sample length of 303 milliseconds for the front wheel assembly. The rear wheel assemblies were detected at the time between points where x3=1954 and x4=2011. This represented a sample length of 314 milliseconds for the rear wheel assembly.

[00225] In plots shown in FIGS. 35-38, the ferromagnetic loop used to detect the vehicle was 10 feet wide by 28 inches long. The ferromagnetic loop used had diagonal turnings with equal spacing. Information associated with the vehicle was collected by the ferromagnetic loop after the vehicle stopped prior to traveling over the loop and then proceeded to move over the loop. During the vehicle detection period, the acceleration of the vehicle was reflected in the decreasing sample lengths of the wheel detections. The sample length and loop geometry provided vehicle speed on the basis of the length of the loop and the length of the sample.

[00226] Plot 3500 shown in FIG. 35 demonstrates the detection of a two-axle truck. Plot 35 shows that the front set of wheels of the two-axle track were detected between points where x1=1818 and x2=1883, a sample length of 358 milliseconds. The rear set of wheels were detected between points where x3=2036 and x4=2082, a sample length of 253 milliseconds. This vehicle was detected while accelerating and that is why the sample lengths are different. The shorter sample time indicates the rear of the vehicle was traveling faster over the loop than the front wheel assembly did. This vehicle also had dual wheel assemblies (i.e., two tires per wheel hub) on the rear axle. This is indicated by the difference in the frequency change when comparing the front frequency change of 89 Hertz and the rear frequency change of 198 Hertz.

[00227] Plot 3600 shown in FIG. 36 demonstrates the detection of a three-axle truck. The front wheels were detected between points where x1=882 and x2=966 with a sample length of 366 milliseconds. The second set of wheels were detected between points where x3=1129 and x4=1185 with a sample length of 308 milliseconds. The third set of wheels were detected between points where x5=1191 and x6=1245 with a sample length of 297 milliseconds. This vehicle was detected while accelerating and that is why the sample lengths are different. The short sample time indicates the rear of the vehicle was traveling faster over the loop than the front wheel assembly did. This vehicle also had dual wheel assemblies on the rear two axles, which is indicated by the difference in the frequency change when comparing the front frequency change of 178 Hertz, second frequency change 418 Hertz, and the third frequency change of 597 Hertz.

[00228] Plot 3700 shown in FIG. 37 demonstrates the detection of a five-axle truck. The front set of wheels was detected between points where x1=1531 and x2=1593 with a sample length of 341 milliseconds and frequency change of 139 Hertz. The second set of wheels was detected between points where x3=1766 and x4=1817 with a sample length of 281 milliseconds and a frequency change of 172 Hertz. The third set of wheels was detected between points where x5=1827 and x6=1876 with a sample length of 270 milliseconds and a frequency change of 216 Hertz. The fourth set of wheels was detected between points where x7=2016 and x8=2059 with a sample length of 172 milliseconds and a frequency change of 254 Hertz. The fifth set of wheels was detected between points where x9=2059 and x10=2095 with a sample length of 198 milliseconds and a frequency change of 209 Hertz. This vehicle was detected while accelerating and that is why the sample lengths are different. The short sample time indicates the rear of the vehicle was traveling faster over the loop then the front wheel assembly. This vehicle also had dual wheel assemblies on the second through fifth sets of wheels, which is indicated by the difference in the frequency changes.

[00229] Plot 3800 shown in FIG. 38, demonstrates the detection of a six-axle truck. The front set of wheels detected from points where x1=73 and x2=158 with a sample length of 468 milliseconds and frequency change of 218 Hertz. The second set of wheels was detected between points where x3=346 and x4=404 with a sample length of 319 milliseconds and a frequency change of 327 Hertz. The third set of wheels was detected between points where x5=411 and x6=479 with a sample length of 374 milliseconds and a frequency change of 290 Hertz. The fourth set of wheels was detected between points where x7=894 and x8=954 with a sample length of 330 milliseconds and a frequency change of 418 Hertz. The fifth set of wheels was detected between points where x9=961 and x10=1018 with a sample length of 314 milliseconds and a frequency change of 121 Hertz. The sixth set of wheels was detected between points where x1=1022 and x12=1079 with a sample length of 314 milliseconds and a frequency change of 317 Hertz. This vehicle was detected while accelerating and that is why the sample lengths are different. The short sample time indicates the rear of the vehicle was traveling faster over the loop than the front wheel assembly.

[00230] The wire turnings in this ferromagnetic design can also be oriented parallel or perpendicular to the travel direction of traffic. The perpendicular orientation is illustrated in the typical ferromagnetic loop geometry shown in FIG. 39. Loop 3910 shows a gradient characteristics having contiguous polygons of different coil lengths. The shorter coil lengths (preferably 3.5 inches) with longer lengths (preferably 7 inches) provide good flux field density for wheel detection. These dimensions are designed specifically for the range of wheel sizes found in random traffic. These dimensions can be adjusted to change the field height of the loop. This unique geometry and method of wire turnings is illustrated in FIG. 40, in which arrows 4002 indicate directions of wire turnings.

[00231] As shown in FIG. 40, the wire is installed in a serpentine manner as indicated by arrows 4002. Preferably, there are at least two complete turns as indicated by a solid line and a dashed line. A cross section of the loop along line A—A is shown in FIG. 41, which indicates the two turns. As indicated in FIG. 41, the wire turnings in each slot 4106 are preferably laid side by side. The spacing illustrated includes coils 3.5 inches and 7 inches long. This provides a unique flux field that can detect a wider range of wheel sizes than a single spacing can. This loop has a field height that provides an even field strength and has the ability to detect small vehicle wheels like those found on trailers as well as larger wheels such as those found on pickup trucks and larger vehicles.

[00232] The preferred method of installation involves installing the wire within one inch of the road surface. In other words, depth 4108 is preferably about one inch. It is also preferable to install the wire turnings parallel to the road surface (i.e., wire turnings 4102 and 4104 are side-by-side as shown in FIG. 41) and not perpendicular to the road surface (i.e., wire turnings 4202 are on top of wire turnings 4204 as shown in FIG. 42). A saw cut ¾ inches wide is preferable for slots 4106. The serpentine method used to make the wire turnings helps keep the wire turnings horizontal to the road and in close proximity to the wheels being detected. FIG. 42 illustrates the ferromagnetic loop being installed in a typical saw cut 4206 used for an inductive loop (note that one wire turning is on top of the other wire turning). The performance of the loop design shown in FIG. 42 will not provide the maximum desired wheel detection when the loop design is installed using conventional loop installation saw depths of 1½ to 2 inches deep. In FIG. 42, the cross-sectional view shows the results of using a conventional saw cut 0.125 inches wide instead of the preferred 0.75 inches wide.

[00233] The number of wire turnings can be increased in the gradient in order to increase the detection response of smaller or larger wheels by increasing the number of wire turns in a particular spacing. This increases the field of flux at the appropriate level. This is illustrated in FIG. 43, which shows two or more wire turnings in slots 4106 with 7 inch spacing for the detection of larger wheels and dual wheel assemblies. Plots shown in FIGS. 43A-43D demonstrate the detection of vehicles using the gradient loop design shown in FIG. 43.

[00234] Plot 4310 shown in FIG. 43A demonstrates the detection of a car using a gradient loop 10 feet wide by 31.5 inches long. The approximate wheel diameter on the car was 24 inches. The first tire was detected between points where x1=1643 and x2=1750. The second wheel was detected between points where x3=1902 and x4=1999.

[00235] Plot 4320 shown in FIG. 43B illustrates the detection of the wheels of a pickup truck with dual tire assemblies on the second axle using the gradient loop 10 feet wide by 31.5 inches long. The approximate wheel diameter on this vehicle was 29 inches. The first tire was detected between points where x1=568 and x2=682. The second wheel was detected between points where x3=994 and x4=1153. The amplitude for the first wheel was 96 hertz and the amplitude for the second wheel was 152 hertz. The second wheel detection was greater because of the presence of the dual tire assembly.

[00236] Plot 4330 shown in FIG. 43C illustrates the detection of the wheels of a pickup truck towing a trailer having two axles. The wheel assemblies were detected using the gradient loop 10 feet wide by 31.5 inches long. The approximate wheel diameter on the truck was 29 inches and the trailer wheels were 12 inches in diameter. The first tire was detected between points where x1=2206 and x2=2525. The second wheel was detected between points where x3=3210 and x4=3641. The trailer wheels were detected between points where x5=4795 and x6=4922 and between points where x7=4922 and x8=5067.

[00237] Plot 4340 shown in FIG. 43D illustrates the detection of a pickup truck towing a trailer having one axle. The wheel assemblies were detected using the gradient loop 10 feet wide by 31.5 inches long. The approximate wheel diameter on the truck was 29 inches and the trailer wheels were 12 inches in diameter. The first tire was detected between points where x1=331 and x2=412. The second wheel was detected between points where x3=592 and x4=663 and the trailer wheel was detected between points where x5=832 and x6=876.

[00238] Referring back to FIG. 39, note that loop 3920 has equal spacing. The cross-sectional view of loop 3920 is illustrated in FIG. 44. Plots shown in FIGS. 44A to 44E show vehicles being detected on ferromagnetic loop that is 28 inches long and 56 inches wide.

[00239] The longer loop length can be used to detect grouped axles. Vehicles having two or more axles with a spacing shorter than the loop length can be easily detected on a single loop. The detection of grouped axles results in distinct patterns of detection that is directly related to the axle spacing of the group of axles. The pattern includes such parameters as the number of peaks, amplitude of the peaks, lengths of the peaks, and speed of the wheels.

[00240] Plot 4410 shown in FIG. 44A illustrates the detection of a car having two axles using a loop 10 feet wide by 56 inches long having coils with 7 inches of spacing. The approximate wheel diameter on the car was 24 inches. The first wheel was detected between points where x1=656 and x2=726. The second wheel was detected between points where x3=776 and x4=843.

[00241] Plot 4420 shown in FIG. 44B illustrates the detection of a truck having two axles using a loop 10 feet wide by 56 inches long having coils with 7 inches of spacing. The approximate wheel diameter on a truck was 40 inches. The first wheel was detected between points where x1=327 and x2=440. The second wheel was detected between points where x3=553 and x4=652. Note that in slow speed conditions the wheel detection contains small peaks that occurred during the wheel detection. The time indicated between two small peaks represents seven inches of wheel travel. This demonstrates the ability of this unique loop geometry to obtain wheel speed information.

[00242] Plot 4430 shown in FIG. 44C illustrates the detection of a truck having two axles and dual tires on the second axle using a loop 10 feet wide by 56 inches long having coils with 7 inches of spacing. The approximate wheel diameter on the truck was 40 inches. The first wheel was detected between points where x1=325 and x2=440. The second wheel was detected between points where x3=555 and x4=649. The amplitude of the first wheel detection was 75 hertz and the amplitude of the second dual wheel detection was 134 hertz. Note that in slow speed conditions the wheel detection contains six small peaks that occurred during the wheel detection. These small peaks represent a seven inches of wheel travel between the peaks. This demonstrates the ability of this unique loop geometry to obtain wheel speed information.

[00243] Plot 4440 shown in FIG. 44D illustrates the detection of a pickup truck having two axles with dual wheels on the second axle and towing a two-axle trailer using a loop 10 feet wide by 56 inches long having coils with 7 inches of spacing. The approximate wheel diameter on a truck was 29 inches. The first wheel was detected between points where x1=475 and x2=563. The second dual wheel was detected between points where x3=659 and x4=727. The third wheel was detected between points where x5=795 and x6=835. The fourth wheel was detected between points where x7=835 and x8=876. The amplitude for the first wheel detection was 84 hertz and the amplitude for the second wheel detection was 178 hertz. The wheels of the trailer with two axles were detected between points where x9=795 and x10=835 and between points where x1 I=835 and x12=876. The wheels being detected at point where x11=835 had an amplitude of 134 hertz. In contrast, the amplitude for the leading edge of the first wheel was 74 hertz and the trailing edge for the second wheel was 78 hertz. The higher amplitude at point where x11=835 is due to the presence of the four trailer wheels on the loop at the same time. The detection of this axle group provides a distinct pattern of detection.

[00244] Plot 4450 shown in FIG. 44E illustrates the detection of a truck having four axles using a loop 10 feet wide by 56 inches long having coils with 7 inches of spacing. The approximate wheel diameter on a truck was 39 inches. The first wheel was detected between points where x1=448 and x2=571. The second wheel was detected between points where x3=678 and x4=755. The third wheel was detected between points where x5=766 and x6=842. The fourth wheel was detected between points where x7=842 and x8=949. The spacing between the second axle and third axle was greater than the axle spacing between the third axle and the forth axle on this vehicle. This difference in axle spacing was reflected in the pattern of the detection of the axle group consisting of the third and fourth axles.

[00245] This loop design provides good increases in the frequency of the loop circuit when wheels of vehicles travel through the field of the loop even when the length of the loop is made longer than a group of wheels. This unique single loop design provides good wheel detection for the population of vehicles from motorcycles to tractor-trailers. This design can be wide enough to provide detection of both the left and right wheels of a vehicle on a single loop. This efficient design only requires one loop per lane for wheel detection of the entire wheel population. Examples of the different wheel sizes found in random traffic include, for example: motorcycles, 12 to 23 inches in diameter; automobiles, 23 to 26 inches in diameter; pickup or SUV, 26 to 29 inches in diameter; small trucks, 30 to 32 inches in diameter; and large trucks, 40 to 44 inches in diameter.

[00246] Both loop geometries, i.e., the gradient spacing and the equal spacing designs, can be installed using one continuous wire in two adjacent segments. This provides detection of the left and right wheel paths in a roadway. This design can be used on wider roadways. The use of two segments reduces the amount of wire in the middle section of the loop. This design provides a wider detection area without dramatically increasing the amount of wire being used. The advantage of not increasing the amount of wire is that adding additional wire does not decrease the loop sensitivity. This is illustrated in FIG. 45 where a loop array has two adjacent loop segments. Loop array 4502 has a gradient of different spacing between the wire turnings. Loop array 4504 has wire turnings with equal spacing.

[00247] Plots shown in FIGS. 45A-45I were produced using a loop that is 10 feet wide by 28 inches using the same spacing 7 inches wide.

[00248] Plot 4510 shown in FIG. 45A illustrates the detection of a car having two axles. The approximate wheel diameter on the car was 24 inches. The first wheel was detected between points where x1=290 and x2=435. The second wheel was detected between points where x3=577 and x4=640.

[00249] Plot 4520 shown in FIG. 45B illustrates the detection of a pickup truck having two axles. The approximate wheel diameter on the pickup truck was 29 inches. The first wheel was detected between points where x1=591 and x2=638. The second wheel was detected between points where x3=717 and x4=752.

[00250] Plot 4530 shown in FIG. 45C illustrates the detection of a pickup truck towing a trailer having two axles. The approximate wheel diameter on the pickup truck was 29 inches. The first wheel was detected between points where x1=774 and x2=878. The second wheel was detected between points where x3=1052 and x4=1144. The trailers wheels were detected between points where x5=1367 and x6=1426 and between points where x7=1426 and x8=1480.

[00251] Plot 4540 shown in FIG. 45D illustrates the detection of a SUV having two axles. The approximate wheel diameter on the SUV was 29 inches. The first wheel was detected between points where x1=495 and x2=562. The second wheel was detected between points where x3=641 and x4=696.

[00252] Plot 4550 shown in FIG. 45E illustrates the detection of a truck having two axles and towing a single axle device. The approximate wheel diameter on the truck was 30 inches. The first wheel was detected between points where x1=150 and x2=304. The second wheel was detected between points where x3=556 and x4=692 and the amplitude for this detection was greater because of the presence of the dual tire assembly. The third wheel was detected between points where x5=968 and x6=1055.

[00253] Plot 4560 shown in FIG. 45F illustrates the detection of a truck having three axles. The approximate wheel diameter on the truck was 40 inches. The first wheel was detected between points where x1=462 and x2=533. The second wheel was detected between points where x3=669 and x4=733. The third wheel was detected between points x5=733 and x6=786.

[00254] Plot 4570 shown in FIG. 45G illustrates the detection of a truck having four axles. The approximate wheel diameter on the truck was 40 inches. The first wheel was detected between points where x1=347 and x2=448. The second wheel was detected between points where x3=575 and x4=645. The third wheel was detected between points where x5=645 and x6=713. The fourth wheel was detected between points where x7=713 and x8=775.

[00255] Plot 4580 shown in FIG. 45H illustrates the detection of a truck having five axles. The approximate wheel diameter on the truck was 40 inches. The first tire was detected between points where x1=183 and x2=304. The second wheel was detected between points where x3=544 and x4=647. The third wheel was detected from points where x5=647 and x6=747. The fourth wheel was detected between points where x7=1144 and x8=1207. The fifth wheel was detected between points where x9=1207 and x10=1274.

[00256] Plot 4590 shown in FIG. 45I illustrates the detection of a truck having six axles. The approximate wheel diameter on the truck was 40 inches. The first wheel was detected between points where x1=70 and x2=160. The second wheel was detected between points where x3=340 and x4=411. The third wheel was detected between points where x5=411 and x6=482. The fourth wheel was detected between points where x7=887 and x8=959. The fifth wheel was detected between points where x9=959 and x10=1020. The sixth wheel was detected between points where x11=1020 and x12=1082.

[00257] Another unique feature of this design is its ability to increase the length of the loop without dramatically changing the field height. This is very beneficial in supplying a longer sample length time from the loop. The other benefit of having a longer loop length is it provides wheel speed information. The travel path length of the loop is longer than the diameter of the wheels it is detecting. The additional field length provides improved wheel data samples by providing a longer sample length. These longer samples allow more information about each wheel to be processed.

[00258] The geometry of the ferromagnetic design can also be used to calculate the speed of the vehicle. The speed can be measured using the length of the sample time as the wheel assembly travels from the leading edge of the loop to the trailing edge of the loop. The sample time is used by the signal analyzer to calculate the speed and provides an accuracy level of plus or minus about four milliseconds. Also, the size and type of wheel assembly can be determined using this loop geometry. The size of the wheel diameter and/or a dual-wheel assembly is reflected in the increased amplitude of the change in the frequency of the loop circuit. All these factors contribute to the area of the curve represented in the graphs for the detection of the wheel. The physical factors about the wheel assembly are represented by the slope and amplitude of the wheel detection. This also allows the processing unit to validate the detection of a wheel and discriminate between an object on a vehicle that is close to the ground but lacks the amplitude and slope to be a valid wheel assembly. This information is supplied on each wheel. In low speed applications or in congestion, this can accurately measure changes in the vehicle speed between the first axle and any of the following axles.

[00259] The width of the loop that is perpendicular to the direction of travel can be adjusted to provide the proper width for detection area. The length of the loop can be increased to increase the length of the sample time. The chassis height of the vehicle can also be detected providing the discrimination between cars, pickup, small trucks, or large trucks on a single loop.

[00260] Using the ferromagnetic loop of the present invention, it is now possible to detect wheel assemblies and measure vehicle speed using only one single loop. The loop field can be made longer when vehicle wheels travel at high speeds. This change in loop length provides good axle detection even when the loop field length is longer than the diameter of the wheels being detected. The loop length can also be longer than a group of axles. The spacing width of the coils within the loop can be varied to as small as two inches to provide a lower field height. The spacing could also be increased to 20 inches or more to detect very large vehicle wheels. Thus, different coil spacing can be used on a single loop circuit. The benefit of the geometry design is that the field density and uniform field height can be adjusted by changing the spacing. The loop circuit frequency increases when wheels travel through the detection field and this provides easy identification of the wheels.

[00261] There is another unique loop geometry design that has a bi-symmetrical offset of the left and right leading and trailing edge of the loop. The left segment of the loop detects the wheels from the left side of a vehicle and the right segment detects wheels from the right side of a vehicle. The use of the offset provides a longer travel distance over the loop and this provides a longer sample time which is desirable particularly at high speeds. In addition, this approach doubles the length of the sample time but only slightly increases the amount of the loop wire by the length of the offset. This loop design is illustrated in FIG. 46. The loops shown in FIG. 46 have wires diagonal to the direction of traffic. However, in other embodiments, the wire need not be diagonal as shown. For example, in FIG. 46A, the gradient and equal coil spacing is oriented perpendicular to the direction of travel.

[00262] In FIG. 46B, the wire turnings of an offset loop are illustrated.

[00263] In FIG. 46C, the wire turnings of the offset loop are confined within a footprint with the shape of a parallelogram. This shape provides additional detection in the center of a lane or roadway.

[00264] FIG. 46D illustrates the wire turnings with the wire perpendicular to the direction of travel.

[00265] FIG. 46E illustrates the use of additional wire turnings (e.g., three or more turns) that can be used to increase the field strength of the loop in regard to specific wire spacing in the coils.

[00266] FIG. 46F illustrates the wire turnings of the offset loop gradient characteristic.

[00267] FIG. 46G illustrates the offset gradient loop with diagonal turnings at about 30 degrees to the leading and trailing edge of the loop.

[00268] This offset loop design can also be used to calculate the speed of the vehicles. This unique single loop design detects the left wheel and right wheel of an axle assembly at different moments in time. This design provides several methods of calculating the speed on this offset wheel loop. These include loop total activation time, activation time of the left and/or right segment, sample time between left and right activation point, sample time between left and right saturation point, and sample time between left and right deactivation point. This is accomplished by having the left segment of the loop and the right segment of the loop being saturated by the left and right wheel at different moments in time. This difference of time is related to the distance in the offset between the left and right leading edge of the loop. Each wheel provides an increase in the loop circuit frequency during detection. These two increases mark the time it takes for the left and right wheel to travel the distance equal to the offset of the leading edge of the loop.

[00269] Also the total time of the activation of the loop represents the time the vehicle wheel travels the entire length of the loop. These references can be used to calculate the speed of the vehicle (i.e., distance divided by time) on each passing pair of wheels. The axle spacing of the vehicle can also be calculated providing vehicle classification information from a single wheel loop.

[00270] Following are examples that illustrate how speed and axle spacing of a vehicle can be determined using a single offset wheel loop shown in FIG. 47. The single offset wheel loop had a left and right segment each of which was 28 inches long. The loop had an offset length of 24 inches. The distance between the left leading edge and the right leading edge is 52 inches (28+24). Note that the offset distance between the left trailing edge and the right leading edge can range preferably between zero and 46 inches. The effective length of the loop equals 2835 milliseconds at one mile per hour (mph). This is based on the fact that it takes 681.82 milliseconds to travel 12 inches or one foot at one mile/hour, i.e., 1000 milliseconds/seconds X 60 seconds/minute X 60 minutes/hour X hour/mile X 5280 feet/mile, and 681.82 milliseconds/foot X 52 inches X 1 foot/12 inches=2954.55 milliseconds.

[00271] In each of Example Numbers 26 through 32 below, an automobile having a known axle spacing of 8.3 feet was used. The car was driven over the loop using a speed between 10 and 60 mph. The speed of the vehicle was first determined. The axle spacing were then calculated based on the determined speed of the vehicle. The speed was calculated using the activation time between the left and right wheel. The axle spacing was calculated using the sample time between the activation of the first axle and the activation point of the second axle. The spacing was calculated using the vehicle speed measured on the first axle. It should be noted that the speed calculation was available for each passing pair of wheels. This speed information can also be used to determine if the vehicle was accelerating or decelerating as it traveled over the loop. It was also possible to use other or multiple speed points and/or use the average of these points. When this offset distance is used a valley or deactivation period appears on the graph (the frequency vs. time plot) between the left and right wheel detection. When a vehicle that has a group of axles with a spacing that is less then the distance of the offset was detected, an axle group pattern is produced on the graph.

[00272] Plot 4710 shown in FIG. 47A illustrates the detection of the car. The first left leading edge activation was at point where x1=774 and the first right leading edge activation was at point where x2=815. This represented a lapse of time of 225.5 milliseconds (i.e., (815−774) multiplied by 5.5). The 225.5 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph. This resulted in 13.10 mph (2954.55/225.5) for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=774 and the activation of the left leading edge of the second axle at point where x3=855. This represented a sample length of 445 milliseconds ((855−774)×5.5). This resulted in an axle spacing of 8.54 feet.

[00273] Plot 4720 shown in FIG. 47B illustrates a second detection of the car. The first left leading edge activation was at point where x1=546 and the first right leading edge activation was at point where x2=594. This represented a lapse of time of 264 milliseconds. The 264 milliseconds sample time was divided into the effective length of the loop value of 2835 milliseconds per one mph to provide a result of 11.19 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=546 and the activation of the left leading edge of the second axle at point where x3=639. This represented a sample length of 511.5 milliseconds. This resulted in an axle spacing of 8.39 feet.

[00274] Plot 4730 shown in FIG. 47C illustrates the third detection of the car. The first left leading edge activation was at point where x1=390 and the first right leading edge activation was at point where x2=442. This represented a lapse of time of 286 milliseconds. The 286 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 10.33 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x2=442 and the activation of the left leading edge of the second axle at point where x3=540. This represented a sample length of 539 milliseconds. This resulted in an axle spacing of 8.16 feet.

[00275] Plot 4740 shown in FIG. 47D illustrates the fourth detection of the car. The first left leading edge activation was at point where x1=518 and the first right leading edge activation was at point where x2=555. This represented a lapse of time of 203.5 milliseconds. The 203.5 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 14.51 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=518 and the activation of the left leading edge of the second axle at point where x3=589. This represented a sample length of 391 milliseconds. This resulted in an axle spacing of 8.31 feet.

[00276] Plot 4750 shown in FIG. 47E illustrates the fifth detection of the car. The first left leading edge activation was at point where x1=409 and the first right leading edge activation was at point where x2=429. This represented a lapse of time of 110 milliseconds. The 110 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 26.85 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=409 and the activation of the left leading edge of the second axle at point where x3=447. This represents a sample length of 209 milliseconds. This resulted in an axle spacing of 8.23 feet.

[00277] Plot 4760 shown in FIG. 47F illustrates the sixth detection of the car. The first left leading edge activation was at point where x1=275 and the first right leading edge activation was at point where x2=286. This represented a lapse of time of 60.5 milliseconds. The 60.5 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 48.83 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=275 and the activation of the left leading edge of the second axle at point where x3=297. This represented a sample length of 121 milliseconds. This resulted in an axle spacing of 8.66 feet.

[00278] Plot 4770 shown in FIG. 47G illustrates the seventh detection of the car. The first left leading edge activation was at point where x1=536 and the first right leading edge activation was at point where x2=545. This represented a lapse of time of 49.5 milliseconds. The 49.5 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 59.68 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=536 and the activation of the left leading edge of the second axle at point where x3=554. This represented a sample length of 99 milliseconds. This resulted in an axle spacing of 8.66 feet.

[00279] The slope of the frequency vs. time plot can also be used to calculate the speed of the wheel in slower speed conditions. The slope of the wheel activation (rise over time) and/or wheel deactivation (fall over time) can be calculated and compared to the predetermined values of a loop calibration table or loop calibration factor. The area under the slope of the wheel activation (rise over time) and wheel deactivation (fall over time) can also be calculated and compared to the predetermined values of a loop calibration table or loop calibration factor. These three methods are not as direct as using the left wheel to right wheel saturation points or total activation time to provide calculations for the speed of the vehicle to be measured with each pair of wheels. This sensor is unique in shape and function by providing accurate measurement of vehicle speed using only a single wheel loop. This also provides the ability to supply vehicle classification on a single loop.

[00280] The information from one offset loop can be processed to provide axle counts, axle speeds, and axle spacing information. The information is obtained from a single inductive loop and a single loop detector. This loop design makes it possible to provide vehicle classification on the basis of axle detection and axle spacing using a single loop and single channel of detection in a travel lane. The following examples illustrate the vehicle speed and axle spacing being detected on a single offset wheel loop. The speed of the vehicle was calculated and the axle spacing was calculated based on the determined speed of the vehicle. This loop had a left and right segment each 28 inches long and an offset length of 24 inches. The effective length of the loop equals 2954.55 milliseconds at one mph. The speed was calculated using the activation time between the left and right wheel. The axle spacing was determined using the sample time between the activation of the first axle and the activation point of the second axle. The spacing is calculated using the vehicle speed measured on the first axle. It should be noted that the speed calculation is available for each passing pair of wheels. This speed information can also be used to determine if a vehicle is accelerating or decelerating as it travels over the loop. It is also possible to use other sample points or multiple speed points and/or use the average of multiple samples.

[00281] In the following Example Nos. 33-38, all the vehicles were accelerating as they traveled over the offset loop.

[00282] Plot 4810 shown in FIG. 48A illustrates the detection of a car towing a one-axle trailer. The first left leading edge activation was at point where x1=569 and the first right leading edge activation was at point where x2=644. This represented a lapse of time of 412.5 milliseconds. The 412.5 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 7.16 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=569 and the activation of the left leading edge of the second axle at point where x3=728. This represented a sample length of 874.5 milliseconds. This resulted in an axle spacing of 9.18 feet. The sample time to the trailer was 874.5 milliseconds, which represented a spacing of 9.07 feet.

[00283] Plot 4820 shown in FIG. 48B illustrates the detection of a pickup truck. The first left leading edge activation was at point where x1=276 and the first right leading edge activation was at point where x2=340. This represented a lapse of time of 352 milliseconds. The 352 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 8.39 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=276 and the activation of the left leading edge of the second axle at point where x3=437. This represented a sample length of 885.5 milliseconds. This resulted in an axle spacing of 10.89 feet. The sample time for the second speed was 286 milliseconds, which represented a speed of 10.33 mph.

[00284] Plot 4830 shown in FIG. 48C illustrates the detection of a pickup truck towing a two-axle trailer. The axle spacing on the trailer produced an axle group pattern on plot 4830 since the axle spacing was shorter than the length of 52 inches. [ ] The first left leading edge activation was at point where x1=620 and the first right leading edge activation was at point where x2=710. This represented a lapse of time of 495 milliseconds. The 495 milliseconds sample time was divided into the effective length of the loop value of 2954 milliseconds per one mph to provide a result of 5.96 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=620 and the activation of the left leading edge of the second axle at point where x3=827. This represented a sample length of 1138.5 milliseconds. This resulted in an axle spacing of 9.95 feet. The sample time for the second axle speed was 402 milliseconds, which represented a speed of 7.34 mph. The sample time to the first trailer axle was 1419 milliseconds, which represented a spacing of 15.29 feet. The sample time to the second trailer axle is 319 milliseconds, which represented a spacing of 3.43 feet.

[00285] Plot 4840 shown in FIG. 48C illustrates the detection of a truck with 3 axles. The axle spacing between the second and third axle produced an axle group pattern on plot 4840 since the axle spacing was shorter than 52 inches. [ ]The first left leading edge activation was at point where x1=326 and the first right leading edge activation was at point where x2=388. This represented a lapse of time of 341 milliseconds. The 341 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 8.66 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the first left leading edge of the first axle at point where x1=326 and the activation of the left leading edge of the second axle at point where x3=530. This represented a sample length of 1122 milliseconds. This resulted in an axle spacing of 14.25 feet. The sample time for the second axle speed was 286 milliseconds, which represented a speed of 10.33 mph. The sample time to the third axle was 275 milliseconds, which represented a spacing of 4.16 feet.

[00286] Plot 4850 shown in FIG. 48E illustrates the detection of a truck with 4 axles. The axle spacing between the second, third, and fourth axle produced an axle group pattern since each axle spacing was shorter than 52 inches. The left leading edge activation of the first axle wheel was at point where x1=107 and the right leading edge activation of the first axle wheel was at point where x2=190. This represented a lapse of time of 457 milliseconds. The 457 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 6.46 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the left leading edge of the first axle at point where x1=107 and the activation of the left leading edge of the second axle at point where x3=303. This represented a sample length of 1078 milliseconds. This resulted in an axle spacing of 10.22 feet. The left leading edge activation point of the second axle was at point where x3=303 and the first right leading edge activation of the second axle wheel was at point where x4=364. This represented a sample length of 335.5 milliseconds. This represented a speed of 8.08 mph. The saturation point of the left second axle wheel was at point where x5=321. The saturation point of the left third axle wheel was at x6=389. This represented a sample length of 374 milliseconds and a spacing of 4.83 feet for the third axle. The saturation point of the left third axle wheel was at point where x6=389. The saturation point of the left fourth axle wheel is at point where x7=448. This represented a sample length of 325 milliseconds and a spacing of 3.85 feet for the fourth axle.

[00287] Plot 4860 shown in FIG. 48F illustrates the detection of a truck with 5 axles. The axle spacing on this vehicle produced two axle group patterns between the second and third axles, and between the fourth and fifth axle since each of these axle spacing was less than 52 inches. The left leading edge activation of the first wheel was at point where x1=101 and the first right leading edge activation of the first axle wheel was at point where x2=200. This represented a lapse of time of 545 milliseconds. The 545 milliseconds sample time was divided into the effective length of the loop value of 2954.55 milliseconds per one mph to provide a result of 5.42 mph for the vehicle speed. This speed factor was used with the sample time from the activation of the left leading edge of the first axle at point where x1=101 and the activation of the left leading edge of the second axle at point where x3=428. This represented a sample milliseconds length of 1799 milliseconds. This resulted in an axle spacing of 14.30 feet. The left leading edge activation was at point of the second axle was at point where x3=428 and the first right leading edge activation of the second axle wheel was at point where x4=516. This represented a sample length of 484 milliseconds. This represented a speed of 6.10 mph. The saturation point of the left second axle wheel was at point where x5=476. The saturation point of the left third axle wheel is at point where x6=560. This represented a sample length of 462 milliseconds and a spacing of 4.13 feet for the third axle. The saturation point of the left third axle wheel was point where x6=560. The saturation point of the left fourth axle wheel was at point where x7=643. This represented a sample length of 457 milliseconds and a speed of 6.46 mph. The left leading edge activation was at point of the third axle was point where x8=516 and the first left leading edge activation of the fourth axle wheel was at point where x9=757. This represented a sample length of 1326 milliseconds. This represented an axle spacing of 12.56 feet. The left leading edge activation was at point of the fourth axle was at point where x9=757 and the first right leading edge activation of the fourth axle wheel was at point where x10=833. This represented a sample length of 418 milliseconds. This represented a speed of 7.06 mph. The saturation of the fourth left axle wheel was at point where x1=798 and the saturation of the left axle wheel on the fifth axle was at point where x12=872. This represented a sample length of 407 milliseconds and a spacing of 4.21 feet for the fifth axle.

[00288] With respect to the wire spacing and the orientation of the wire for the ferromagnetic loop a number of factors should be considered. For example, the orientation of the wire turnings with respect to the path on which the wheel travels through the field affects the loop frequency change. When the wire wrappings are parallel to the direction of traffic, the field detects not only the wheels but also the chassis of the vehicles. Using larger spacing in wire turnings that are parallel to the direction of travel affect the loop's ability so that it detects wheels exclusively. However, when the large spacing is used, the chassis of smaller vehicles such as motorcycles and cars with low ground clearance can create eddy currents, which cause the frequency of the loop circuit to lower and thereby reduces detection of wheels. Accordingly, it is desirable to design the spacing of the loop based on anticipated vehicles wheels to be detected. One novel arrangement of the wire spacing is to route the wire at a 30 to 60 degrees angle to the direction of travel. This arrangement reduces the eddy currents from the chassis. As a result, the arrangement provides improved wheel detection and wheel speed information.

[00289] As discussed above, a ferromagnetic loop of the invention can be used to determine, among other things, the presence, speed, and number of Se axles of a vehicle. This can be accomplished as shown in FIG. 49. Gradient loop 4900 is installed on path 4904. Gradient loop 4900 is in communication with device 4902 via lead-in 4908. Device 4902 can be a loop detector, a traffic counter, or a traffic classifier. A vehicle (not shown) traveling on path 4904 in direction 4906 is detected by loop 4900 when the vehicle moves over loop 4900.

[00290] FIG. 49A shows that a ferromagnetic loop can be configured in an offset orientation. For example, loop 4910 may be configured so that it has a left segment 4912 and a right segment 4914.

[00291] The use of more than one ferromagnetic loop in a roadway can be used to provide vehicle classification. FIGS. 49B and 49C illustrate the use of two wheel loops 4952 and 4954 in loop array 4950 for vehicle classification. Inner spacing 4930 is preferably from about five feet to about eight feet long and outer spacing 4940 should be from about nine feet to about 15 feet. Both loops 4952 and 4954 are in communication with device 4902.

[00292] The use of spacings 4930 and 4940 provides sensor activation or deactivation on both wheel loops from the wheels located on the same two-axle vehicle. The wheel detections on the two wheel loops occur at the same time or within a few milliseconds. This provides wheel, wheel assembly, speed, and axle spacing information from the same vehicle during the wheel detection. This wheel information provides critical vehicle information about the vehicle speed and axle spacing that pairs the vehicle axles and greatly simplifies the vehicle classification process by providing matches for the for vehicle classification. The sensor arrangement provides the linking or pairing of front and rear wheels of a vehicle for about 80 to 85% of the vehicles in random traffic. This percentage of vehicles represent the axle spacing for cars, sport utility vehicles, vans, and pickup trucks that have axle spacing that is between the inner and outer spacing of the two wheel loops.

[00293] FIG. 50 illustrates the arrangement of a loop array having multiple wheel loops 5010, 5020, and 5030 that have different lengths. This unique sensor arrangement can provide individual wheel information with additional axle group information on a longer loop and individual wheel information on a shorter wheel loop. For example, by combining a wheel loop 56 inches long and a gradient wheel loop 31.5 inches long, the 56-inch loop would provide single axle and axle group information. The second wheel loop would provide axle information. This combination of different sensor lengths would increase the amount of vehicle information about the vehicle. This could have an inner spacing of 84 inches and an outer spacing of 321.5 inches. This wheel information provides critical vehicle information about the vehicle speed, axle spacing, and axle groups. Again, the spacing of these two wheel sensors provides pairs of sensor activations occurring at the same time or within a few milliseconds of each other. This arrangement greatly simplifies the vehicle classification process by providing matches of the vehicle axles and axle groups for the vehicle classification. This sensor arrangement provides linking for about 85 to 90% of the vehicles in random traffic.

[00294] The addition of single rectangular or dipole loop located between the two wheel loops could be used in heavy congested traffic conditions to supply additional vehicle processing information. The rectangular or dipole loop would provide additional vehicle presents detection for axle spacing that are greater than 19 feet long. FIG. 51 illustrates one embodiment of this sensor arrangement that provides additional vehicle processing information.

[heading-00295] Installation

[00296] The ferromagnetic loops and its various configurations, variations, arrangements, and arrays of loops of the present invention can be installed as a surface mount loop for temporary installation. In addition, the loops can be installed for permanent applications using a pavement saw, drill, wire, and loop sealant.

[heading-00297] Installation Procedure for a Ferromagnetic Loop

[00298] The loop can be installed on a pavement as follows. The pavement is marked using paint to outline the locations or a web of grooves to be cut using a pavement saw. A slot is made by the saw that is between about 0.75 inches wide by about 1.5 inch deep. The loop is formed using a single conductor of preferably stranded wire AWG number 14 with high density polyethylene insulation with a jacket diameter of 130 to 140 mils. However, single or stranded conductor wire gauge of 12, 14, 16, or 18 could be used for this installation. It is recommended that the loop coils of wire are kept parallel to the roadway surface (i.e., the coils of wire are laid side-by-side). The wire is installed in the cut slot (see, e.g., FIGS. 41, 43, and 44). The wire and slot is then filled with a bonding agent. The bonding agent can be, for example, a loop sealant. The lead-in wire is twisted continuously from the loop to the signal processor.

[heading-00299] Molded Ferromagnetic Loop and Installation Procedure

[00300] The unique design of the ferromagnetic loop can be made in a molded loop in the same variety of geometric shapes, sizes, and coil spacing as those formed using a pavement saw and wire method. Molded loop 5300 shown in FIG. 53 has a unique shape 5302 that provides a positive anchoring of the loop in the pavement. FIG. 53 illustrates several examples of the anchors 5304, 5306, 5308, 5310, and 5312 that can be incorporated in the molded ferromagnetic loop. Loop 5300 is secured by at least one fastener 5320 to maintain the multiple contiguous polygons of loop 5300. The advantages for using the molded loop included:

• • [00301] easy control of the loop depth during installation;
  • [00302] consistent wire turnings in the coils; and
  • [00303] reduction of the loop installation time.

[00304] The loop can be installed using a molded loop that can be placed in a saw cut or a web of grooves created within a pavement. For example, an outline of the loop is painted or marked on the pavement. A pavement saw is used to cut slots about 0.75 inches wide by about 1.5 inches deep. The molded loop is then placed in the slots and a loop sealant or another bonding agent is used to secure the molded loop in the saw cut. FIGS. 52 and 53 illustrate various cross sectional views of the molded loop. An alternative method involves the step of filling the web of grooves with the loop sealant before placing the molded loop in the saw cut. The molded loop is pressed down until the top of the loop is even with the road surface. The molded loop has a twisted lead-in cable continuously from the loop to the signal processor. The advantages of using the molded loop is the wire turnings are horizontal and parallel with the road surface. The depth of the loop installation is easy to control by installing the top of the molded loop flush to the surface of the road.

[heading-00305] Installing Temporary ferromagnetic Loop

[00306] Temporary loops can be made using a combination of wire and seal tape having a woven Polypropylene mesh. The adhesive of the road tape holds the loop in place in the road way. FIG. 54 illustrates a cross section of the construction of a temporary wheel loop.

[00307] FIG. 55 illustrates temporary loop 5500 that is 10 feet wide by 28 inches long having diagonal coils 5502.

[00308] Plot 5510 shown in FIG. 55A illustrates the detection a vehicle using loop 5500. The front wheels activation was between points where x1=231 and x2=272. The rear set of wheels activation was between points where x3=348 and x4=390.

[00309] Plot 5520 shown in FIG. 55B illustrates the detection of a pickup truck as it moves above temporary loop 5500. The front wheels activation was between points where x1=2022 and x2=2074. The rear set of wheels activation was between points where x3=2167 and x4=2217.

[00310] Plot 5530 shown in FIG. 55C illustrates the detection of a truck with four axles moving above temporary loop 5500. The front wheels activation was between points where x1=2204 and x2=2299. The second set of wheels activation was between points where x3=2479 and x4=2547. The third set of wheels activation was between points where x5=2563 and x6=2626. The fourth set of wheels activation was between points where x7=2644 and x8=2705.

[00311] FIG. 56 illustrates temporary loop 5600 that is 10 feet wide by 28 inches long having coils 5602 perpendicular to the travel direction.

[00312] Plot 5610 shown in FIG. 56A illustrates the detection of a car moving above temporary loop 5600. The front wheels activation was between points where x1=855 and x2=901. The rear set of wheels activation was between points where x3=1005 and x4=1044.

[00313] Plot 5620 shown in FIG. 56B illustrates the detection of a pickup truck moving above temporary loop 5600. The front wheels activation was between points where x1=181 and x2=242. The rear set of wheels activation was between points where x3=372 and x4=242.

[00314] Plot 5630 shown in FIG. 56C illustrates the detection of a truck with five axles moving above temporary loop 5600. The front wheels activation was between points where x1=1240 and x2=1330. The second set of wheels activation was between points where x3=1588 and x4=1651. The third set of wheels activation was between points where x5=1670 and x6=1726. The fourth set of wheels activation was between points where x7=2096 and x8=2138. The fifth set of wheels activation was between points where x9=2144 and x10=2189.

[00315] FIG. 57 illustrates temporary offset loop 5700 that can be installed on a roadway so that its coils 5704 can be perpendicular or parallel to the direction of travel. Lead-in 5902 is connected to a loop detector.

[00316] Plot 5710 shown in FIG. 57A illustrates the detection of a truck with two axles being detected on temporary offset loop 5700, which is having coils 5704 perpendicular to the flow of travel in direction 5706.

[00317] Plot 5720 shown in FIG. 57B illustrates the detection of a truck with two axles being detected on an offset loop having coils parallel to the direction of travel.

[00318] Together, plots 5710 and 5720 indicate that offset loop 5700 can be used to detect vehicle wheels regardless of whether coils 5704 are parallel or perpendicular (or diagonal) to the direction of travel.

[heading-00319] Summary of the Disclosure

[00320] The ferromagnetic loop of the present invention has many characteristics including the following.

[00321] The loop geometry associated with the present invention is unique. Preferred embodiments of the invention use wire turnings in a serpentine fashion to provide a low density magnetic field for the ferromagnetic loop. Preferably, the ferromagnetic loop provides a wire coil with multiple turns to remain parallel (side-by-side) and preferably one inch or less below the road surface.

[00322] The loop width can be larger than the diameter of the wheels being detected to provide a longer sample time of each wheel assembly.

[00323] The ferromagnetic loop design can detect and provide distinctions for single wheel assemblies on small vehicle wheels, automobiles, trucks and dual wheel assemblies on vehicles.

[00324] The loop design can be installed on a temporary basis using flexible adhesive sheets. Alternatively, the loop can be formed to contain the continuous wire. For example, the continuous wire can be encapsulated or encased in a molding process to give form to the loop circuit.

[00325] The loop circuit encapsulated or encased in a molding process can be further secured by an anchoring system. The anchoring system may consist one or more of plastic, rubber, synthetic, and other resinous product for permanent installations.

[00326] A molded loop designed specifically for temporary installations can be installed as a surface mount loop. This loop is designed to be reusable and more durable than the temporary loops made of a combination of wire and seal tape having a woven polypropylene mesh.

[00327] The permanent installations can use a shallow saw cut 0.5 to 0.75 inches wide and one inch deep to maintain close proximity of the ferromagnetic circuit to the road surface.

[00328] The permanent installations can be installed in a saw cut using a loop circuit that has been encapsulated or encased using a molding process using one or more of plastic, rubber, synthetic, and other resinous products.

[00329] The shape of the molded ferromagnetic loop design can be adapted to be secured by a mechanical anchor in the saw cut.

[00330] The loop design has the ability to discriminate between a single wheel assembly and a dual wheel assembly.

[00331] The unique serpentine method of wire turns can utilize different length sizes of spacing to create a low dense gradient field for different wheel diameters.

[00332] Temporary loops can be made from a combination of wire and seal tape having a woven Polypropylene material with adhesive. These temporary loops can be installed for short term or temporary installations.

[00333] Vehicle classification by detecting axle counts, vehicle spacing, and axle spacing can be done using a single loop.

[00334] Vehicle classification using two loops in series can have spacing from 3 feet to 15 feet between loops.

[00335] The foregoing disclosure of the preferred embodiments of the present invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many variations and modifications of the embodiments described herein will be obvious to one of ordinary skill in the art given the above disclosure. The scope of the invention is to be defined only by the claims appended hereto, and by their equivalents.

[00336] Further, in describing representative embodiments of the present invention, the specification may have presented the method and/or process of the present invention as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. As one of ordinary skill in the art would appreciate, other sequences of steps may be possible. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. In addition, the claims directed to the method and/or process of the present invention should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the present invention.