JP6727885B2 - Vehicle type identification system, vehicle type identification method and program - Google Patents

Description

The present invention relates to a vehicle type identification system, a vehicle type identification method, and a program.

In the case of a tollgate such as a highway, if a vehicle type identification device (vehicle type identification system) that automatically determines the vehicle type classification of the vehicle is provided from the viewpoint of efficiency in toll collection processing for vehicles using the highway. There is. In this case, the tollgate discriminates the vehicle type category of the vehicle traveling through the vehicle type discriminating apparatus and demands payment of a charge amount according to the discriminated vehicle type category.
The vehicle type identification device described above includes, for example, a plurality of sensors in addition to a vehicle separator that can detect the passage of vehicles one by one. For example, the vehicle type identification device includes, as a plurality of sensors, a tread plate that outputs a detection signal corresponding to the stepping of the tire of the traveling vehicle, a vehicle length detector that outputs a detection signal according to the vehicle length of the vehicle, and an overhang of the vehicle. An overhang detector or the like that outputs a detection signal corresponding to the above is provided (for example, refer to Patent Document 1).

JP-A-8-235489

In the vehicle type identification device described above, the detection processing by each of the tread, the vehicle length detector, the overhang detector, and the like is usually triggered by the output of the vehicle detection signal from the vehicle separator.
Then, if a failure or the like occurs in the vehicle separator, it affects the operation of other sensors (treads, etc.), and it is considered that the vehicle type classification of the traveling vehicle cannot be correctly determined.
Also, if the vehicle body has a special shape, it is possible that other sensors (such as treads) have already passed the detection signal output when the vehicle separator detects the entry of the vehicle. To be Therefore, it is assumed that the vehicle type classification of the traveling vehicle may not be surely discriminated.

An object of the present invention is to provide a vehicle type identification system, a vehicle type identification method, and a program capable of more reliably identifying the vehicle type classification of a traveling vehicle.

One aspect of the present invention is a vehicle which is provided at a predetermined position (La) along a lane (L) and which outputs a vehicle detection signal (s1) from the time when the vehicle (A) is detected at the predetermined position to the time when it is detected to exit. Characteristic detection that is provided at a predetermined position along the lane with the separator (201) and that outputs a characteristic detection signal (s2 to s5) during the passage of the characteristic portion (A1, A2) of the vehicle at the predetermined position. (202, 204, 205, 206) and the feature detection signal output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time, And, based on at least one of the feature detection signal is output within a period from a stop time when the output of the vehicle detection signal is stopped to a time after a predetermined time from the stop time, A vehicle type identification system (20) including a vehicle type category specifying unit (200a) that identifies a vehicle type category to which the vehicle belongs.
By doing so, in addition to the feature detection signal output during the period when the vehicle detection signal is output by the vehicle separator, the features output before the time when the output of the vehicle detection signal is started. At least one of the detection signal and the characteristic detection signal output after the time when the output of the vehicle detection signal is stopped is regarded as the detection signal by one traveling vehicle, and the vehicle type classification of the vehicle is performed. .. As a result, it is possible to more reliably determine the vehicle type classification of the vehicle.

Further, according to one aspect of the present invention, the feature detector is a tread that outputs the feature detection signal (s2) during a period in which the tire (A2) of the vehicle is passing at the predetermined position.
As a result, the period during which the tire, which is one of the characteristic parts of the vehicle, is passing can be detected through the tread. Therefore, the vehicle type classification can be specified based on the number of axles of the traveling vehicle.

Further, according to one aspect of the present invention, the vehicle separator includes a plurality of object detection elements (R) arranged side by side in the height direction at the predetermined position, and detects an object among the object detection elements. The output of the vehicle detection signal is started with the timing when the number of objects that have been detected is equal to or greater than a predetermined number, and the number of objects that are detecting an object among the object detection elements is less than the predetermined number. The output of the vehicle detection signal is stopped at the timing when the exit is detected.
By doing so, even when foreign matter such as paper pieces, dead leaves, and dirt adhere to the vehicle separator, the vehicle detection signal is not output unless the number of object detection elements being detected falls below the predetermined number. .. Therefore, it is possible to prevent erroneous detection of entry (or exit) of the vehicle due to the presence of the foreign matter.

Further, according to an aspect of the present invention, the vehicle type classification specifying unit outputs the characteristic detection signal from the characteristic detector even though the vehicle detection signal is not output from the vehicle separator. In addition, the time when the object starts to be detected in at least one of the object detecting elements is regarded as the start time, and the time when the object is not detected in all of the object detecting elements is regarded as the stop time, Identify the vehicle type category to which the belongs.
By doing so, even when a malfunction occurs in the vehicle separator and some object detection elements cannot be used, at least one object detection element is used for vehicle detection. Since the determination is performed, the process of determining the vehicle type classification can be continued. Therefore, when the above-mentioned trouble occurs, the toll collector or the like does not have to immediately take action such as closing the lane.

Further, according to an aspect of the present invention, in the vehicle type identification system described above, a detection signal output pattern (P01, P01, in which a combination of the output period of the vehicle detection signal and the output period of the feature detection signal is defined in advance. P02, P03, P04) is recorded on a recording medium 200c, a combination of a period in which the vehicle detection signal is output from the vehicle separator and a period in which the feature detection signal is output from the feature detector, An abnormality determination unit 200b that determines that the vehicle separator or the characteristic detector has an abnormality when the detection signal output pattern is not satisfied.
By doing so, when an abnormality occurs in either the vehicle separator or the feature detector, the combination of the vehicle detection signal and the feature detection signal acquired when the vehicle passes through the vehicle type identification system Based on this, it can be understood that the abnormality has occurred.

Further, according to one aspect of the present invention, a plurality of the detection signal patterns are defined in the recording medium in association with the vehicle type classification, and the vehicle type classification specifying unit outputs the vehicle detection signal from the vehicle separator. The vehicle type classification is specified by determining to which of the detection signal patterns a combination of the period in which is output and the period in which the characteristic detection signal is output from the characteristic detector applies.
By doing so, when there is no abnormality in the vehicle separator and the feature detector, the combination of the acquired vehicle detection signal and the feature detection signal is compared with the detection signal pattern to detect the traveling vehicle. It is possible to determine the vehicle type classification.

Further, according to an aspect of the present invention, the recording medium is recorded with a plurality of the detection signal output patterns, and the abnormality determination unit displays information regarding the license plate of the vehicle among the plurality of detection signal output patterns. The one detection signal output pattern specified based on the above is compared with the combination of the period in which the vehicle detection signal is output and the period in which the characteristic detection signal is output.
By doing so, it is possible to narrow down the detection signal output pattern to be compared based on the information about the license plate, so whether or not an abnormality has occurred in either the vehicle separator or the feature detector, The determination can be made more accurately and quickly.

Further, according to an aspect of the present invention, a step in which a vehicle separator provided at a predetermined position along the lane outputs a vehicle detection signal from a time when the vehicle at the predetermined position is detected to an exit is detected, The characteristic detector provided at the predetermined position outputs the characteristic detection signal during the passage of the characteristic portion of the vehicle at the predetermined position, and the start time when the output of the vehicle detection signal is started A time that is a predetermined time after the stop time from the stop time when the output of the feature detection signal and the vehicle detection signal is output within a period from a time before the predetermined time to the start time. The method for determining the vehicle type based on at least one of the feature detection signals output during the period up to, and specifying the vehicle type classification to which the vehicle belongs.

Further, according to one aspect of the present invention, a vehicle separator that is provided at a predetermined position along the lane and that outputs a vehicle detection signal from when the vehicle enters the exit position to when the vehicle exits the exit position is detected, and a predetermined position along the lane. A computer of a vehicle type discrimination system, which is provided in the computer, of a vehicle type determination system, which includes a characteristic detector that outputs a characteristic detection signal during a period during which the characteristic portion of the vehicle at the predetermined position is passing, and starts outputting the vehicle detection signal. Only a predetermined time after the stop time from the stop time when the output of the feature detection signal and the vehicle detection signal is output within a period from the time before the time to the start time by a predetermined time It is a program that functions as a vehicle type classification specifying unit that specifies a vehicle type classification to which the vehicle belongs based on at least one of the feature detection signals output within a period until a later time.

According to the vehicle type determination system, the vehicle type determination method, and the program described above, the vehicle type classification of the traveling vehicle can be determined more reliably.

It is a figure which shows the whole structure of the toll collection facility which concerns on 1st Embodiment. It is a figure which shows the function structure of the toll collection facility which concerns on 1st Embodiment. It is a figure explaining the structure and function of the vehicle classification system which concerns on 1st Embodiment. It is a 1st figure which shows the detection signal output pattern which concerns on 1st Embodiment. It is a 2nd figure which shows the detection signal output pattern which concerns on 1st Embodiment. It is a 3rd figure which shows the detection signal output pattern which concerns on 1st Embodiment. It is a 4th figure which shows the detection signal output pattern which concerns on 1st Embodiment. It is a 1st figure explaining the function of the vehicle type division specific part concerning a 1st embodiment. It is a 2nd figure explaining the function of the vehicle type division specific part concerning a 1st embodiment. It is a 3rd figure explaining the function of the vehicle type division specific part concerning a 1st embodiment. It is a 4th figure explaining the function of the vehicle type division specific part concerning a 1st embodiment. It is a 1st figure explaining the function of the abnormality determination part which concerns on 1st Embodiment. It is a 2nd figure explaining the function of the abnormality determination part which concerns on 1st Embodiment. It is a 3rd figure explaining the function of the abnormality determination part concerning 1st Embodiment. It is a 4th figure explaining the function of the abnormality determination part which concerns on 1st Embodiment.

<First Embodiment>
Hereinafter, the vehicle type identification system according to the first embodiment will be described with reference to FIGS. 1 to 14.

(overall structure)
FIG. 1 is a diagram showing an overall configuration of a fee collection facility according to the first embodiment.
As shown in FIG. 1, the toll collection facility 1 is provided at an exit toll gate (or an entrance toll gate) of a highway, which is a toll road, from a vehicle A using the highway to a vehicle type classification of the vehicle A. It is a facility for collecting the charged amount.

In the example shown in FIG. 1, a driver or the like of a vehicle A who uses an expressway is traveling in a lane L that leads from the expressway side to the general road side in a toll collection facility 1 provided at an exit toll gate. Islands I are laid on both sides of the lane L, and various roadside devices constituting the toll collection facility 1 are installed.
In the following description, the direction in which the lane L extends (±X direction in FIG. 1) is also referred to as “lane direction”, and the direction that is orthogonal to the lane direction horizontally (±Y direction in FIG. 1) is also referred to. Also described as "lane width direction". The expressway side in the lane direction of the lane L (the +X direction side in FIG. 1) is also referred to as the “upstream side” of the lane L. In addition, the general road side (the −X direction side in FIG. 1) in the lane direction of the lane L is also referred to as the “downstream side” of the lane L.

As shown in FIG. 1, the toll collection facility 1 includes a manned booth 10, a toll collection machine 11, and a vehicle type identification system 20.
At the manned booth 10, there is a toll collector who performs toll collection processing with the vehicle A traveling in the lane L. Inside the manned booth 10, there is installed a charge collection machine 11 used by the collector to collect a charge from the vehicle A traveling in the lane L according to the vehicle type classification of the vehicle A.
The toll collector operates the toll collection machine 11 installed in the manned booth 10 in the process of toll collection processing with the driver of the vehicle A and the like.

The vehicle type determination system 20 automatically determines the vehicle type classification of the vehicle A traveling in the lane L, and notifies the toll collection machine 11 of the determination result of the vehicle type classification. Here, the “vehicle type classification” is a classification for the vehicle A, which is associated with the charge amount to be paid by the user, and is classified according to the structural characteristics of the vehicle A. The receiptant asks the user to pay the charge amount according to the vehicle type classification determination result notified from the vehicle type determination system 20.
The vehicle type discriminating system 20 is provided on the upstream side of the manned booth 10 in the lane L, and is provided on the island I. The vehicle separator 201, the license plate reader 203, the vehicle height detector 204, the vehicle length detector 205, and the vehicle overshooter. It includes a hang detector 206, a tread 202 buried on the road surface of the lane L, and a control unit 200.

The control unit 200 controls the entire operation of the vehicle type identification system 20. In particular, the control unit 200 is acquired through various detectors (vehicle separator 201, tread 202, license plate reader 203, vehicle height detector 204, vehicle length detector 205 and overhang detector 206) described below. Based on the various detection signals, the vehicle type classification of the traveling vehicle A is performed.

The vehicle separator 201 is disposed on the island I at a predetermined position along the lane L (position La in the lane direction (±X direction) of the lane L) and is opposed to each other with the lane L sandwiched in the lane width direction. It has 201a and a light receiving tower 201b. A plurality of light emitting elements (not shown in FIG. 1) are arranged in the light emitting tower 201a, and a plurality of light receiving elements (not shown in FIG. 1) are arranged in the light receiving tower 201b side by side in the height direction. The light emitted by each light projecting element is received by each light receiving element.
As will be described later, the vehicle separator 201 outputs a vehicle detection signal from the time when the vehicle A enters the position La to the time when the vehicle A detects the exit, depending on whether or not the light receiving element of the light receiving tower 201b receives light.

The license plate reader 203 is provided at a position where the vehicle body of the vehicle A that has reached the position La in the lane direction can be photographed from the front side. The license plate reader 203 takes an image of the vehicle A from the front side when the vehicle separator 201 detects the approach of the vehicle A, and acquires image data including the license plate of the vehicle A. Then, the license plate reader 203 performs a predetermined image extraction process on the acquired image data, and outputs various information (classification number, license plate size, etc., collectively referred to as “NP information” hereinafter) regarding the license plate. Get and output.

The tread 202, the vehicle height detector 204, the vehicle length detector 205, and the overhang detector 206 are periods during which the characteristic portions (tires, vehicle body) of the vehicle A are passing at their respective installation positions (positions La, Lb, Lc). It also functions as a feature detector that outputs a feature detection signal. Specifically, it is as follows.

The tread 202 is embedded in the road surface of the lane L at a position La in the lane direction. The treads 202 are arranged so as to extend in the lane width direction. Through a plurality of energization sensors F (described later) installed inside, an axle detection signal (feature detection signal) is output while the tire of the vehicle A is passing the position La.

The vehicle height detector 204 is provided at a predetermined height (for example, a height of 2.0 m from the road surface) on the island I at the position La in the lane direction, and projects the light beams facing each other across the lane L in the width direction of the lane. Through the portion 204a and the light receiving portion 204b, a vehicle height detection signal (feature detection signal) is output while the upper portion of the vehicle body of the vehicle A (portion having a height of 2.0 m) is passing the position La.

The vehicle length detector 205 is provided in the lane L at a position Lb on the downstream side of the vehicle separator 201 by a predetermined distance. The vehicle length detector 205 receives a vehicle length detection signal (feature detection signal) during a period in which the vehicle body of the vehicle A is passing the position Lb through the light projecting unit 205a and the light receiving unit 205b that face each other with the lane L in the width direction of the vehicle. Is output.

The overhang detector 206 is provided at a position Lc on the lane L, which is downstream of the vehicle separator 201 by a predetermined distance and upstream of the vehicle length detector 205. The overhang detector 206 receives an overhang detection signal (feature detection signal) during a period in which the vehicle body of the vehicle A is passing through the position Lc through the light projecting unit 206a and the light receiving unit 206b that face each other across the lane L in the lane width direction. Is output.

(Function configuration)
FIG. 2 is a diagram showing a functional configuration of the fee collection facility according to the first embodiment.
As shown in FIG. 2, the vehicle type identification system 20 includes a vehicle separator 201, a tread 202, a license plate reader 203, a vehicle height detector 204, a vehicle length detector 205, an overhang detector 206, and a control unit 200. Equipped with.
The control unit 200 also includes a vehicle type classification identifying unit 200a, an abnormality determining unit 200b, and a recording medium 200c.

The vehicle type classification specifying unit 200a receives the vehicle detection signal from the vehicle separator 201 and the characteristic detection signals from the respective characteristic detectors (the step board 202, the vehicle height detector 204, the vehicle length detector 205, and the overhang detector 206). Based on, the vehicle type classification to which the vehicle A belongs is specified.
The abnormality determination unit 200b detects the characteristics from the period when the vehicle detection signal is output from the vehicle separator 201 and the various characteristic detectors (the tread 202, the vehicle height detector 204, the vehicle length detector 205, and the overhang detector 206). It is determined that there is an abnormality in any of the vehicle separator 201 and the various feature detectors, depending on the combination of the period in which the signal is output.
The recording medium 200c has a normal detection signal output pattern in which a combination of the vehicle detection signal output period and the feature detection signal output period is defined in advance (detection signal output patterns P01 to P04, etc. described later). Is recorded.

The vehicle type classification specifying unit 200a outputs the determination result of the vehicle type classification to the toll collection machine 11 in the manned booth 10. Further, when the abnormality determination unit 200b determines that there is an abnormality in either the vehicle separator 201 or the various characteristic detectors, the abnormality determination unit 200b outputs a message to that effect to the fee collection machine 11 to notify the collection staff or the like.

(Structure and function of vehicle classification system)
FIG. 3 is a diagram illustrating the structure and function of the vehicle type identification system according to the first embodiment.
As shown in FIG. 3, the vehicle separator 201 of the vehicle type identification system 20 is arranged at a position La in the lane direction. In the vehicle separator 201, a plurality of light emitting elements and light receiving elements are arranged side by side in the height direction (±Z direction).
Here, in the following description, a pair of one light projecting element and one light receiving element that receives the light projected by the one light projecting element is referred to as an object detecting element R. In the following description, the straight line connecting the light projecting element and the light receiving element forming the object detecting element R is also referred to as “optical axis”.
The object detection element R detects the presence of any object (including foreign matter such as paper chips and dead leaves in addition to the vehicle body) on the optical axis based on the presence or absence of light received from the light projecting element in the light receiving element.

The vehicle separator 201 travels at a timing when the number of the object detecting elements R (object detecting elements R′ being detected) out of the plurality of object detecting elements R becomes a predetermined number (for example, 6) or more. The output of the vehicle detection signal is started by regarding the timing when the vehicle A to enter the position La is entered.
Further, the vehicle separator 201 regards the traveling vehicle A as the timing when the traveling vehicle A exits the position La when the number of the object detection elements R′ being detected is less than a predetermined number (for example, 6), and detects the vehicle. Stop signal output.
By doing so, even when a foreign object such as a piece of paper or a dead leaf enters between the light projecting tower 201a and the light receiving tower 201b of the vehicle separator 201, the number of the object detecting elements R'being detected is reduced. The vehicle detection signal is not output unless the number is less than the predetermined number. Therefore, it is possible to prevent the entry (or exit) of the vehicle from being erroneously detected due to the presence of the foreign matter.

Further, as shown in FIG. 3, four energization sensors F are arranged side by side in the lane direction inside the tread 202 of the vehicle type identification system 20. Each of the four energization sensors F individually outputs an energization detection signal in response to pressing from above (stepping on with a tire). When the four energization sensors F continuously output energization detection signals from the upstream side to the downstream side of the lane L, the tread 202 is regarded as the tire of the vehicle A stepping on the tread 202 and passing through the axle. Output a detection signal.
By doing so, erroneous detection of the axle that may occur when the vehicle A moves backward or when a person steps on the tread 202 is suppressed, and the lane L is traveling from the upstream side to the downstream side. The number of axles of the vehicle A can be accurately identified.

Further, as shown in FIG. 3, the vehicle height detector 204 is arranged at a predetermined height (2.0 m) higher than the vehicle separator 201 at the position La in the lane direction. The vehicle height detector 204 detects the object on the optical axis connecting the light projecting unit 204a and the light receiving unit 204b with the same mechanism as the object detecting element R of the vehicle separator 201. Therefore, the vehicle height detector 204 outputs a vehicle height detection signal corresponding to passage of the upper portion of the vehicle body (a portion having a height of 2.0 m) only when the vehicle height of the traveling vehicle A is 2.0 m or more. To do.

Further, as shown in FIG. 3, the vehicle length detector 205 and the overhang detector 206 are arranged at positions Lb and Lc in the lane direction, respectively. The vehicle length detector 205 and the overhang detector 206 are located at a position higher than the minimum ground clearance (distance in the height direction from the road surface to the vehicle body A1) of the vehicle A of all vehicle types, and the vehicle of the vehicle A of all vehicle types. It is located lower than high. Therefore, the vehicle length detector 205 and the overhang detector 206 always detect the vehicle length detection signal and the overhang when the vehicle A passes the respective positions Lb and Lc. Output a signal.

Note that the distance from the position La to the position Lb in the lane direction is set to be shorter than the vehicle length of a normal passenger vehicle and longer than the vehicle length of a light vehicle (and a motorcycle).
Also, the distance from the position La to the position Lc in the lane direction is shorter than the overhang of the large bus (the distance from the first axis to the front of the vehicle body), and other vehicles (normal passenger cars, large trucks, etc.) It is set to be longer than the overhang of. Here, the overhang means a front overhang (the distance from the center of the axle of the first front wheel to the frontmost part of the vehicle).

(Detection signal output pattern)
4 to 7 are first to fourth diagrams, respectively, showing the detection signal output pattern according to the first embodiment.
Detection signal output patterns P01 to P04 illustrated in FIGS. 4 to 7 are recorded in advance on the recording medium 200c according to the first embodiment.
The detection signal output patterns P01 to P04 shown in FIGS. 4 to 7 are vehicle detection signals s1 and s1, which are assumed when each vehicle A travels in the lane L, for a plurality of types of vehicles A having different vehicle body shapes, number of axles, and the like. 6 is a timing chart showing the output of various feature detection signals (axle detection signal s2, overhang detection signal s3, vehicle length detection signal s4, and vehicle height detection signal s5).

The detection signal output pattern P01 shown in FIG. 4 is a timing chart of the vehicle detection signal s1 and various characteristic detection signals that are assumed when the vehicle A that is a “normal passenger car” travels. When the traveling vehicle A is an ordinary passenger car, it is assumed that the combination (relationship) of the vehicle detection signal s1 and the various feature detection signals will be the detection signal output pattern P01 shown in FIG.
Specifically, first, the front surface (bumper portion) of the vehicle body A1 of the vehicle A reaches the position La, and the number of the object detection elements R (FIG. 3) detecting the vehicle body A1 is a predetermined number (6 pieces). ) The vehicle separator 201 starts outputting the vehicle detection signal s1 at the time point (time t01 (start time)).
Next, when the tire A2 of the first axis of the vehicle A reaches the position La and all the energization sensors F (FIG. 3) output energization detection signals corresponding to the depression by the tires A2 (time t11), the tread 202 Starts to output the axle detection signal s2.
Next, when the forefront of the vehicle body A1 of the vehicle A reaches the position Lc (time t21), the overhang detector 206 starts outputting the overhang detection signal s3.
Next, when the forefront of the vehicle body A1 of the vehicle A reaches the position Lb (time t12), the vehicle length detector 205 starts outputting the vehicle length detection signal s4.
Next, when the tire A2 of the second axle of the vehicle A reaches the position La and all the energization sensors F output the energization detection signals corresponding to the depression by the tire A2 (time t12), the tread 202 detects the axle. The output of the signal s2 is started.
Then, when the rearmost surface of the vehicle body A1 of the vehicle A reaches the position La and the number of the object detection elements R detecting the vehicle body A1 becomes less than a predetermined number (six) (time t02 (stop time)), the vehicle is separated. The device 201 stops outputting the vehicle detection signal s1.
While the vehicle A is traveling, the vehicle height detection signal s5 is not output all the time.

As described above, since the number of axles of the vehicle A, which is an ordinary passenger car, is “2”, the axle detection is performed within the output period of the vehicle detection signal s1 (time t01 (start time) to time t02 (stop time)). The signal s2 is output twice.
In addition, since the vehicle length of the vehicle A, which is an ordinary passenger car, is longer than the interval (see FIGS. 1 and 3) between the position La and the position Lb in the lane direction, from the time t02 when the output of the vehicle detection signal s1 is stopped. At the previous time (time t31), the output of the vehicle length detection signal s4 is started.
Further, since the overhang of the vehicle A, which is an ordinary passenger car, is shorter than the interval (see FIGS. 1 and 3) between the position La and the position Lc in the lane direction, the time when the first axle detection signal s2 is output. The overhang detection signal s3 is output at a time point after time t11 (time t21).
Further, the vehicle height of the vehicle A, which is an ordinary passenger car, is less than the height (2.0 m) at which the vehicle height detector 204 is installed, and therefore the vehicle height detection signal s5 is not output.

Further, the detection signal output pattern P02 shown in FIG. 5 is a timing chart of the vehicle detection signal s1 and various feature detection signals that are assumed when the vehicle A, which is a “light vehicle”, travels. When the traveling vehicle A is a light vehicle, it is assumed that the combination (relationship) of the vehicle detection signal s1 and the various characteristic detection signals becomes like the detection signal output pattern P02 shown in FIG.
Specifically, the relationship between the vehicle detection signal s1 and the axle detection signal s2, and the relationship between the axle detection signal s2 and the overhang detection signal s3 are the same as in the timing chart (detection signal output pattern P01) of a normal passenger car. is there.
However, since the vehicle length of the vehicle A, which is a light vehicle, is shorter than the interval between the position La and the position Lb in the lane direction, a time point after the time t02 at which the vehicle separator 201 stops outputting the vehicle detection signal s1. At (time t31), the output of the vehicle length detection signal s4 is started.
Further, since the vehicle height of the vehicle A, which is a light vehicle, is also less than the height (2.0 m) at which the vehicle height detector 204 is installed, the vehicle height detection signal s5 is not output.

In addition, the detection signal output pattern P03 shown in FIG. 6 is a timing chart of the vehicle detection signal s1 and various feature detection signals that are assumed when the vehicle A, which is a “normal truck” (truck), travels. Here, as an example, it is assumed that the number of axles of the vehicle A, which is an ordinary freight vehicle (truck), is “4”. When the traveling vehicle A is an ordinary freight vehicle (truck), it is assumed that the combination (relationship) of the vehicle detection signal s1 and the various characteristic detection signals becomes the detection signal output pattern P03 shown in FIG.
Specifically, since the number of axles of the vehicle A, which is an ordinary freight vehicle (truck), is “4”, a predetermined time (time t01 to time t02) within the period in which the vehicle detection signal s1 is output. At t11, t12, t13, t14), the axle detection signal s2 is output four times.
Further, since the vehicle length of the vehicle A, which is an ordinary freight vehicle (truck), is longer than the interval between the position La and the position Lb in the lane direction, a time point before the time t02 at which the output of the vehicle detection signal s1 is stopped ( At time t31), the output of the vehicle length detection signal s4 is started.
Further, the overhang of the vehicle A, which is an ordinary freight vehicle (truck), is shorter than the interval between the position La and the position Lc in the lane direction, and therefore, after the time t11 when the first axle detection signal s2 is output. At the time point (time t21), the overhang detection signal s3 is output.
Further, since the vehicle height of the vehicle A, which is an ordinary freight vehicle (truck), is higher than the height (2.0 m) at which the vehicle height detector 204 is installed, the vehicle height detection signal s5 is the vehicle detection signal s1. Is output at almost the same time as the time t01 at which is output.

In the example shown in FIG. 6, the number of axles of the vehicle A is “4”. However, in practice, a normal freight vehicle (truck) has only two axles and three axles or more and more than five axles. Some also have. Therefore, the recording medium 200c records the detection signal output pattern P03 for the four-axle ordinary freight vehicle, and the detection signal output patterns for the two-axle, three-axle, and five-axle or more ordinary freight vehicles. ..

Further, the detection signal output pattern P04 shown in FIG. 7 is a timing chart of the vehicle detection signal s1 and various feature detection signals that are assumed when the vehicle A that is a “bus” travels. When the traveling vehicle A is a bus, it is assumed that the combination (relationship) of the vehicle detection signal s1 and the various characteristic detection signals is as shown in the detection signal output pattern P04 shown in FIG. 7.
Specifically, since the number of axles of the vehicle A that is a bus is “2”, the axle detection signal s2 is output twice within the output period of the vehicle detection signal s1 (time t01 to time t02).
Further, since the vehicle length of the vehicle A that is a bus is longer than the interval between the position La and the position Lb in the lane direction, the vehicle length is longer than the time t02 when the output of the vehicle detection signal s1 stops (time t31). The output of the long detection signal s4 is started.
Further, since the overhang of the vehicle A, which is a bus, is longer than the interval between the position La and the position Lc in the lane direction, the time (time t21) before the time t11 when the first axle detection signal s2 is output. Outputs the overhang detection signal s3.
Further, since the vehicle height of the vehicle A, which is a bus, is higher than the height (2.0 m) at which the vehicle height detector 204 is installed, the vehicle height detection signal s5 is the time when the vehicle detection signal s1 is output. It is output at almost the same time as t01.

As described above, a plurality of detection signal patterns P01 to P04 are defined in the recording medium 200c in association with the vehicle type classification of the vehicle A.
The vehicle type classification identifying unit 200a monitors all of the vehicle detection signal s1 and other characteristic detection signals, and the obtained combination (relationship) of the vehicle detection signal s1 and the characteristic detection signal is recorded in the recording medium 200c. The vehicle type classification of the vehicle A is determined by determining which of the detection signal output patterns (detection signal output patterns P01 to P04, etc.) is applicable.

(First function of the vehicle type classification specifying unit)
8 and 9 are a first diagram and a second diagram, respectively, for explaining the function of the vehicle type classification specifying unit according to the first embodiment.
Hereinafter, the first function of the vehicle type classification specifying unit 200a according to the first embodiment will be described with reference to FIGS. 8 and 9.
The vehicle type classification identifying unit 200a refers to various feature detection signals output from other feature detectors within a predetermined period corresponding to a period in which the vehicle detection signal s1 (FIG. 9) is output from the vehicle separator 201. By comparing the feature detection signal with the detection signal output pattern described above, the vehicle type classification of the vehicle A is specified.
Here, as shown in FIG. 8, the function of the vehicle type classification specifying unit 200a will be described in detail by taking a case where a vehicle A, which is a two-wheeled vehicle, travels as an example.

It is assumed that the vehicle A, which is a two-wheeled vehicle as shown in FIG. 8, reaches the position L1 at a certain time (time t11 (FIG. 9)). Then, at time t11, the tread 202 is stepped on by the front wheels (tire A2 of the first axis) of the vehicle A, and the energization detection signals are output from all the four energization sensors F. The tread 202 responds to the output of the energization detection signals from all the energization sensors F, and at time t11, outputs the axle detection signal s2 (FIG. 9) corresponding to the passage of the front wheel of the vehicle A (the tire A2 of the first axle). Start output.
On the other hand, at the time t11 when the vehicle A reaches the position L1, only the front wheels of the vehicle A are present at the position La, and the vehicle body A1 which is the main body of the motorcycle does not reach the position La. Therefore, at this point, the number of object detection elements R (object detection elements R′ (FIG. 8)) that detect the presence of an object has not reached the predetermined number (6). That is, at time t11, the vehicle separator 201 does not output the vehicle detection signal s1.

Next, it is assumed that the predetermined time has passed from time t11 and the vehicle A reaches the position L2 at a certain time (time t01 (FIG. 9)). At this point, the vehicle body A1 of the vehicle A enters the position La, and the number of the object detection elements R detecting the object reaches a predetermined number (six). Then, the vehicle separator 201 considers that the vehicle A has entered the position La at time t01 (entry detection), and starts outputting the vehicle detection signal s1 (FIG. 9).

Further, if a predetermined time elapses from time t01 and the vehicle body A1 of the vehicle A exits the position La at a certain time (time t02 (FIG. 9)), at this time, the object detection element R detecting the object detects The number is less than the predetermined number (6). Then, the vehicle separator 201 considers that the vehicle A has left the position La at time t02 (exit detection), and stops outputting the vehicle detection signal s1 (FIG. 9).
However, at this time, the rear wheel of the vehicle A (tire A2 on the second axis) has not reached the position La. Therefore, since the tread 202 is not stepped on by the rear wheel (tire A2 of the second axis) of vehicle A at time t02, the tread 202 of the rear wheel (tire A2 of the second axis) of vehicle A is removed from the tread 202. The axle detection signal s2 corresponding to the passage is not output.

It is further assumed that a predetermined time has elapsed from time t02 and the rear wheels (tire A2 of the second axis) of vehicle A have reached position La at a certain time (time t12 (FIG. 9)). Then, at time t12, the tread 202 is stepped on by the rear wheels of the vehicle A (tire A2 of the second axis), and all four energization sensors F output energization detection signals. The tread 202, in response to the output of the energization detection signals from all the energization sensors F, at time t12, the axle detection signal s2 (FIG. 9) corresponding to the passage of the rear wheel (the tire A2 of the second axle) of the vehicle A. Start the output of.

The overhang detector 206 starts to output the overhang detection signal s3 at time t21 when the vehicle body A1 of the vehicle A reaches the position Lc. Further, the vehicle length detector 205 starts outputting the vehicle length detection signal s4 at time t31 when the vehicle body A1 of the vehicle A reaches the position Lb.

Here, the vehicle type classification specifying unit 200a refers to the detection signal output patterns (the detection signal output patterns P01 to P04 in FIGS. 4 to 7) recorded in the recording medium 200c in order to determine the vehicle type classification of the vehicle A. .. However, in this case, the number of axle detection signals s2 output during the period in which the vehicle detection signal s1 is output (time t01 to time t02) is “0”. Therefore, the vehicle type classification identifying unit 200a determines that none of the detection signal output patterns previously recorded in the recording medium 200c is applicable to the vehicle detection signal s1 and the feature detection signal acquired this time.

Therefore, the vehicle type classification identifying unit 200a determines the axle detection signal s2 within a predetermined period corresponding to the period (time t01 to time t02) during which the vehicle detection signal s1 is output in order to identify the accurate number of axles of the vehicle A. refer.
Specifically, the time t02 when the output of the vehicle detection signal s1 is stopped from the time t01A that is a predetermined time Δt (for example, 80 msec) before the time t01 (start time) when the output of the vehicle detection signal s1 is started. The number of axle detection signals s2 output within a period up to time t02A after a predetermined time Δt after (stop time) is counted. Then, in the example shown in FIGS. 8 and 9, the vehicle type classification identifying unit 200a indicates the number of axle detection signals s2 output within the period from the time t01A to the time t02A, that is, the number of axles of the vehicle A. 2" is counted.
Then, the vehicle type classification identifying unit 200a starts outputting the vehicle length detection signal s4 at time t31 after the time t02 when the number of axles is “2” and the output of the vehicle detection signal s1 is stopped. Based on the fact (that is, the fact that the detection signal output pattern P02 is met), it is determined that the vehicle A belongs to the vehicle type category of “light vehicle, etc.” (vehicle type category including light vehicles and motorcycles).

(Action/effect)
Here, when simply trying to count the number of axles detected within the period in which the vehicle detection signal s1 is output, it is output before the time (time t01) when the output of the vehicle detection signal s1 is started. The axle detection signal s2 that is output and the axle detection signal s2 that is output after the output of the vehicle detection signal s1 is stopped (time t02) are not counted. Therefore, for example, as shown in FIG. 8, the number of axles cannot be accurately counted for a two-wheeled vehicle in which the tire has a shape protruding forward and rearward of the vehicle body (main body).
On the other hand, the vehicle type classification specifying unit 200a according to the first embodiment, as described above, from the time before the start time when the output of the vehicle detection signal s1 is started by a predetermined time Δt to the start time (from the time t01A to the time. (until t01) from the stop time when the output of the axle detection signal s2 and the vehicle detection signal s1 output during the period of (t01) to a time that is a predetermined time Δt after the stop time (from time t02 to time t02A). ), the vehicle type classification to which the vehicle A belongs is specified based on the axle detection signal s2 output within the period.
Therefore, even for a two-wheeled vehicle as shown in FIG. 8, the number of axles can be accurately counted, and the vehicle type classification of the vehicle A can be accurately determined.
As described above, according to the vehicle type identification system 20 according to the first embodiment, in addition to the feature detection signal (axle detection signal s2) output during the period in which the vehicle detection signal s1 by the vehicle separator 201 is output. Then, the feature detection signal (axle detection signal s2) output before the time when the output of the vehicle detection signal s1 is started, and the time when the output of the vehicle detection signal s1 is stopped are output. The feature detection signal (axle detection signal s2) is also regarded as a detection signal from one traveling vehicle, and the vehicle type classification of the vehicle is determined. As a result, it is possible to more reliably determine the vehicle type classification of the vehicle.

(Second function of the vehicle type classification specifying unit)
FIG. 10 is a third diagram illustrating the function of the vehicle type classification specifying unit according to the first embodiment.
Next, a second function of the vehicle type classification specifying unit 200a according to the first embodiment will be described with reference to FIG.
In the example shown in FIG. 10, some of the object detection elements R (FIG. 3) included in the vehicle separator 201 have a defect (failure, etc.), and some of the object detection elements R cannot be used (detect an object). FIG. 6 is a timing chart of the vehicle detection signal s1 and other characteristic detection signals when the vehicle A, which is an ordinary passenger car, travels in the (unable) state.

Since a plurality of object detection elements R out of the object detection elements R included in the vehicle separator 201 cannot detect an object, as shown in FIG. 10, the vehicle body A1 of the vehicle A (normal passenger car) is located at the position La (see FIG. 1). , FIG. 3), the number of object detection elements R that detect an object does not exceed a predetermined number (6). Therefore, the vehicle separator 201 does not constantly output the vehicle detection signal s1 while the vehicle A is traveling.
However, even if the number of the object detection elements R is less than the predetermined number (six), the vehicle separator 201 detects that the object (vehicle Or, a temporary vehicle detection signal s1′ indicating that a foreign object is detected is output. Further, the vehicle separator 201 stops the output of the temporary vehicle detection signal s1′ when all the object detection elements R no longer detect an object while outputting the temporary vehicle detection signal s1′. ..

In this case, as shown in FIG. 10, although the axle detection signal s2 is output twice and the overhang detection signal s3 and the vehicle length detection signal s4 are also output, the vehicle detection signal s1 is constantly output. Absent. Therefore, the vehicle type classification identifying unit 200a determines that none of the detection signal output patterns previously recorded in the recording medium 200c is applicable to the vehicle detection signal s1 and the feature detection signal acquired this time.
Here, for example, the vehicle type classification specifying unit 200a according to the present embodiment further detects the vehicle length detection signal after the time t21 when the overhang detection signal s3 is output while the vehicle detection signal s1 is not output. The above determination is performed at the time when s4 is output (time t31). As a result, at least both the overhang detection signal s3 and the vehicle length detection signal s4 can be targeted for comparison with the detection signal output pattern as the feature detection signal. Therefore, the vehicle detection signal s1 and the feature acquired this time are detected. It is possible to improve the accuracy of the determination as to whether or not there is a detection signal output pattern that applies to the detection signal.
Note that the timing at which the vehicle type classification identifying unit 200a makes the determination is not limited to this aspect in other embodiments. For example, the vehicle type classification identifying unit 200a may make the above determination simply at the time when the output of the overhang detection signal s3 is started (time t21) while the state in which the vehicle detection signal s1 is not output continues. In addition, the vehicle type classification identifying unit 200a determines at the time when the output of the overhang detection signal s3 stops or the time when the output of the vehicle length detection signal s4 stops while the state in which the vehicle detection signal s1 is not output continues. You may go.
Furthermore, in another embodiment, the above determination may be performed after a predetermined time (monitoring time) has elapsed from the time (for example, time t11 in FIG. 10) at which some feature detection signal was first output. Good. In this case, the “monitoring time” may be defined based on, for example, the average time taken from the arrival of the forefront surface of the vehicle body A1 of the vehicle A at the position La until the rearmost surface of the vehicle body A1 passes through the position Lb. Good.

Therefore, when the vehicle type classification specifying unit 200a outputs the axle detection signal s2, the overhang detection signal s3, and the vehicle length detection signal s4, but does not output the vehicle detection signal s1, the vehicle type classification identification unit 200a outputs the axle detection signal. It is determined whether or not the temporary vehicle detection signal s1′ including the times t11 and t12 when the output of s2 is started and the time t21 when the output of the overhang detection signal s3 is started is output.
In the case of the example shown in FIG. 10, as a result of the above determination processing, the vehicle type classification identifying unit 200a recognizes that the temporary vehicle detection signal s1′ was output during the period from time t01a to time t02a. Then, the vehicle type classification identifying unit 200a performs the vehicle type classification determination process after regarding the temporary vehicle detection signal s1′ as the true vehicle detection signal s1. Accordingly, the vehicle type classification specifying unit 200a determines that the vehicle A belongs to the vehicle type classification of "normal passenger car" based on that the combination of the vehicle detection signal s1 and the feature detection signal acquired this time is applied to the detection signal output pattern P01. To determine.

(Action/effect)
As described above, the vehicle type classification specifying unit 200a detects at least one object when the feature detection signals are output from the various feature detectors even though the vehicle detection signal s1 is not output from the vehicle separator 201. The time at which the object starts to be detected in the element R (time t01a at which the output of the temporary vehicle detection signal s1′ is started) is regarded as the time at which the output of the vehicle detection signal s1 is started (start time). Then, the vehicle type classification identifying unit 200a stops the output of the vehicle detection signal s1 at the time when the object is no longer detected by all the object detection elements R (time t02a when the output of the temporary vehicle detection signal s1′ is stopped). The vehicle type classification to which the vehicle A belongs is specified by regarding the time (stop time).
By doing so, even if the operation of the vehicle separator 201 becomes defective and the plurality of object detection elements R cannot be used, the vehicle type determination system 20 continues to determine the vehicle type classification. Processing can continue. Therefore, when the above-mentioned trouble occurs, the receipt person, etc. does not have to immediately take the action such as closing the lane L.

(The third function of the vehicle type classification specifying unit)
FIG. 11 is a fourth diagram illustrating the function of the vehicle type classification identifying unit according to the first embodiment.
Next, a third function of the vehicle type classification specifying unit 200a according to the first embodiment will be described with reference to FIG.
In the example shown in FIG. 11, in the case where a malfunction occurs in a part of the four energization sensors F (FIG. 3) of the tread 202 and the energization detection signal is no longer output, in a four-axle ordinary freight vehicle (truck). The timing chart of the vehicle detection signal s1 and the other characteristic detection signal when a certain vehicle A travels is shown.

When some of the four energization sensors F do not output energization detection signals, the tire A2 of the vehicle A (ordinary lorry) reaches the position La (Figs. 1 and 3) as shown in Fig. 11. However, the energization detection signals are not output from all the energization sensors F. Therefore, the tread 202 does not constantly output the axle detection signal s2 while the vehicle A is traveling.
Here, when at least one of the four energization sensors F outputs an energization detection signal, the tread 202 outputs a temporary axle detection signal s2′.

In this case, as shown in FIG. 11, although the vehicle detection signal s1, the overhang detection signal s3, and the vehicle length detection signal s4 are output, the axle detection signal s2 is not output all the time. Therefore, the vehicle type classification identifying unit 200a determines that none of the detection signal output patterns previously recorded in the recording medium 200c is applicable to the vehicle detection signal s1 and the feature detection signal acquired this time.

Therefore, when the vehicle detection signal s1, the overhang detection signal s3, and the vehicle length detection signal s4 are output but the axle detection signal s2 is not output, the vehicle type classification identification unit 200a detects the vehicle detection signal. It is determined whether or not the temporary axle detection signal s2′ is output within a period from time t01 when the output of s1 is started to time t02 when the output is stopped.
In the case of the example shown in FIG. 11, as a result of the determination process, the vehicle type classification identifying unit 200a outputs the temporary axle detection signal s2′ at a predetermined time (time t11a, t12a, t13a, t14a) in the period from time t01a to time t02a. Recognize what was done. Then, the vehicle type classification identifying unit 200a executes the vehicle type classification determination process after regarding the provisional axle detection signal s2′ as the true axle detection signal s2. Accordingly, the vehicle type classification specifying unit 200a determines that the vehicle A belongs to the vehicle type classification of "general lorry" based on that the combination of the vehicle detection signal s1 and the feature detection signal acquired this time is applied to the detection signal output pattern P03. To determine.

As described above, when the feature detection signal is output from the various feature detectors even though the axle detection signal s2 is not output from the tread 202, the vehicle type classification identifying unit 200a causes the at least one energization sensor F to operate. The time when the object starts to be detected (the time t11a when the output of the temporary axle detection signal s2′ is started) is regarded as the time when the output of the axle detection signal s2 is started.
By doing so, even if the operation of the tread 202 is defective and the energization detection signal is not output from a part of the energization sensor F, the vehicle type identification system 20 continues to identify the vehicle type classification. Processing can continue. Therefore, when the above-mentioned trouble occurs, the receipt person, etc. does not have to immediately take the action such as closing the lane L.

(Function of abnormality determination part)
12 and 13 are a first diagram and a second diagram, respectively, for explaining the function of the abnormality determination unit according to the first embodiment.
Next, the first function of the abnormality determination unit 200b according to the first embodiment will be described with reference to FIGS.

In the example shown in FIG. 12, when the malfunction occurs in the overhang detector 206 and the overhang detection signal s3 is no longer output, the vehicle detection signal s1 and other feature detection when the vehicle A, which is an ordinary passenger car, travels The timing chart of a signal is shown.

In this case, as shown in FIG. 12, although the vehicle detection signal s1, the axle detection signal s2, and the vehicle length detection signal s4 are output, the overhang detection signal s3 is not output all the time. Here, no matter what kind of vehicle the vehicle A is, there is no case where the overhang detection signal s3 is not output although the vehicle detection signal s1, the axle detection signal s2, and the vehicle length detection signal s4 are output. .. Therefore, the vehicle type classification identifying unit 200a determines that none of the detection signal output patterns previously recorded in the recording medium 200c is applicable to the vehicle detection signal s1 and the feature detection signal acquired this time.
In this way, when the vehicle detection signal s1, the axle detection signal s2, and the vehicle length detection signal s4 are output, but the overhang detection signal s3 is not output, the abnormality determination unit 200b determines that the overhang has occurred. It is determined that the detector 206 has an abnormality, and an abnormality detection signal for notifying that there is an abnormality is output to the toll collection device 11 (FIG. 1).

Further, in the example shown in FIG. 13, when the vehicle height detector 204 has a malfunction and the vehicle height detection signal s5 is not output, the vehicle detection signal s1 and other characteristics when the vehicle A that is a bus travels The timing chart of a detection signal is shown.

Here, as shown in FIG. 13, when the first output of the axle detection signal s2 is started at time t11 after time t21 when the output of the overhang detection signal s3 is started, the vehicle A is It is assumed to be a "bus". Then, originally, the vehicle height detection signal s5 should be output at substantially the same time as the vehicle detection signal s1 as in the detection signal output pattern P04. Therefore, also in this case, the vehicle type classification identifying unit 200a determines that none of the detection signal output patterns recorded in the recording medium 200c in advance corresponds to the vehicle detection signal s1 and the feature detection signal acquired this time. ..
Thus, the vehicle height detection signal s5 is output although the first output of the axle detection signal s2 is started at time t11 after time t21 when the output of the overhang detection signal s3 is started. If not, the abnormality determination unit 200b determines that there is an abnormality in the vehicle height detector 204, and outputs an abnormality detection signal for notifying the fact to the toll collection machine 11.

Further, the abnormality determination unit 200b acquires the timing chart (see FIG. 10) in which the vehicle detection signal s1 is not output although the axle detection signal s2, the overhang detection signal s3, and the like are output. Determines that the vehicle separator 201 has an abnormality, and outputs an abnormality detection signal for notifying the abnormality to the toll collection machine 11.
Further, when the abnormality determination unit 200b acquires a timing chart (see FIG. 10) in which the vehicle detection signal s1 and the overhang detection signal s3 are output, but the axle detection signal s2 is not output, It is determined that the tread 202 has an abnormality, and an abnormality detection signal for notifying the abnormality is output to the toll collection machine 11.

(Action/effect)
As described above, the abnormality determination unit 200b has a plurality of combinations of the period in which the vehicle detection signal s1 is output from the vehicle separator 201 and the period in which various feature detection signals are output from the feature detector (the step board 202 or the like). When it does not apply to any of the detection signal output patterns P01 to P04, etc., it is determined that there is an abnormality in either the vehicle separator 201 or the other feature detector.
By doing so, the vehicle detection signal s1 obtained when the vehicle A passes through the vehicle type identification system 20 when an abnormality occurs in the vehicle separator 201 or any of various other characteristic detectors. And it is possible to grasp that the abnormality has occurred based on the combination of the various feature detection signals.

In addition, the vehicle type classification identifying unit 200a detects a combination of a period during which the vehicle detection signal s1 is output from the vehicle separator 201 and a period during which various feature detection signals are output from the feature detector (such as the tread 202) as a detection signal. The vehicle type classification of the vehicle A is specified by determining which of the patterns P01 to P04 is applicable.
By doing so, when there is no abnormality in the vehicle separator 201 and the feature detector (the step board 202 or the like), the obtained combination of the vehicle detection signal s1 and the feature detection signal is compared with the detection signal pattern. Based on this, it is possible to determine the vehicle type classification of the traveling vehicle.

14 and 15 are a third diagram and a fourth diagram, respectively, for explaining the function of the abnormality determination unit according to the first embodiment.
Next, the second function of the abnormality determination unit 200b according to the first embodiment will be described with reference to FIGS. 14 and 15.

Further, the abnormality determination unit 200b further uses the NP information output from the license plate reader 203 to determine whether or not there is an abnormality in either the vehicle separator 201 or the other feature detector.
Specifically, when it is possible to specify the classification of the traveling vehicle A based on the NP information acquired from the license plate reader 203, the vehicle type classification specifying unit 200a specifies the vehicle type classification based on the NP information.
For example, in the NP information, when it is possible to read that the first digit of the classification number engraved on the license plate is “1”, the vehicle type classification identifying unit 200a determines that the vehicle A is an ordinary freight vehicle. Can be specified. If the first digit of the classification number stamped on the license plate is “2” in the NP information, it can be specified that the vehicle A is a bus. Furthermore, for example, when the first digit of the classification number is "3", it can be specified that the vehicle A is a normal passenger car.

Here, for example, as shown in FIG. 14, it is assumed that a timing chart in which only the vehicle detection signal s1, the axle detection signal s2, and the overhang detection signal s3 are output is acquired. Further, in this case, it is assumed that the vehicle type classification specifying unit 200a can specify that the vehicle A is a “normal passenger car” based on the NP information acquired from the license plate reader 203.
In this case, the abnormality determination unit 200b compares the detection signal output pattern P01 (FIG. 4) related to the “normal passenger car” identified based on the NP information with the timing chart (FIG. 14) acquired this time. .. Here, according to the detection signal output pattern P01, it is usually impossible that the vehicle length detection signal s4 is not output by the time when the output of the vehicle detection signal s1 is stopped (time t02). Therefore, the abnormality determination unit 200b determines that an abnormality has occurred in the vehicle height detector 204 as a result of comparison between the detection signal output pattern P01 and the timing chart (FIG. 14) acquired this time, and notifies that fact. The abnormality detection signal for doing so is output to the toll collection device 11.

Further, as shown in FIG. 15, it is assumed that a timing chart in which the vehicle detection signal s1, the axle detection signal s2, the overhang detection signal s3, and the vehicle length detector s4 are output is acquired. In the timing chart shown in FIG. 15, the first output of the axle detection signal s2 is started before time t21 (time t11) when the output of the overhang detection signal s3 is started.
In this case, when it is determined from the NP information acquired from the license plate reader 203 that the license plate size is the “large format plate”, the vehicle type classification identifying unit 200a causes the traveling vehicle A to be a “large vehicle” ( It can be specified that it belongs to the "normal lorry" (truck) or "bus").
Therefore, the abnormality determination unit 200b has acquired the detection signal output pattern P03 (FIG. 6) related to the “normal lorry” (truck) and the detection signal output pattern P04 (FIG. 7) related to the “bus”, and this time. The timing chart (FIG. 15) is compared. Here, the vehicle height detection signal s5 is output in both the detection signal output pattern P03 for the "normal lorry" (truck) and the detection signal output pattern P04 for the "bus". That is, when it is determined that the license plate size is the "large format plate" based on the NP information, it is usually impossible that the vehicle height detection information s5 is not output. Therefore, the abnormality determination unit 200b determines that an abnormality has occurred in the vehicle height detector 204 as a result of comparison between the detection signal output patterns P04 and P05 and the timing chart (FIG. 15) acquired this time, and to that effect. The abnormality detection signal for notifying the is output to the toll collection device 11.

(Action/effect)
As described above, the abnormality determination unit 200b uses the one detection signal output pattern specified based on the NP information of the vehicle A among the plurality of detection signal output patterns, the period during which the vehicle detection signal s1 is output, and the feature detection signal. , And the combination of the periods in which was output.
By doing so, it is possible to narrow down the detection signal output pattern to be compared based on the NP information, and it is possible to determine whether or not there is an abnormality in either the vehicle separator 201 or the other feature detector. It is possible to discriminate more accurately and quickly.
In particular, according to the example shown in FIG. 15, an abnormality of the vehicle height detector 204 can be detected not only when the bus travels but also when the truck travels.

<Modification of First Embodiment>
Although the vehicle type identification system 20 according to the first embodiment has been described above in detail, the specific mode of the vehicle type identification system 20 according to the first embodiment is not limited to the above-described one. It is possible to add various design changes and the like within a range not deviating from.

For example, the vehicle type classification specifying unit 200a of the vehicle type determination system 20 according to the first embodiment has been described as having all of the above-described first function, second function, and third function, but other implementations. The form is not limited to this form. That is, the vehicle type classification identifying unit 200a according to another embodiment may have a mode having only one or two of the above-described first function, second function, and third function.
Similarly, the abnormality determination unit 200b of the vehicle type determination system 20 according to the first embodiment has been described as having both the first function and the second function described above, but in other embodiments, this aspect is used. Not limited to. That is, the abnormality determination unit 200b according to another embodiment may have a mode having only one of the above-mentioned first function and second function.

Further, the vehicle type classification specifying unit 200a of the vehicle type determination system 20 according to the first embodiment outputs the vehicle detection signal s1 within a period from a time before the start time at which the output of the vehicle detection signal s1 is started to a start time. Based on the axle detection signal s2 that is being output and the axle detection signal s2 that is output within a period from the stop time when the output of the vehicle detection signal s1 is stopped to a time that is a predetermined time after the stop time. The vehicle type classification to which the vehicle A belongs is specified. However, the vehicle type classification specifying unit 200a according to another embodiment is not limited to this aspect.
For example, the vehicle type classification specific|specification part 200a which concerns on other embodiment detects the vehicle height detected within the period from the time before the start time when the output of the vehicle detection signal s1 was started for a predetermined time to the start time. The vehicle A belongs based on the signal s5 and the vehicle height detection signal s5 that is output within a period from the stop time when the output of the vehicle detection signal s1 is stopped to a time that is a predetermined time after the stop time. It may be one that specifies the vehicle type classification.

In addition, the vehicle type identification system 20 according to the first embodiment includes a feature detector (a tread 202, a vehicle height detector 204, a feature detector that outputs a feature detection signal during a period during which a feature portion (tire, vehicle body) of the vehicle A is passing. Although it has been described that the vehicle length detector 205 and the overhang detector 206) are provided in plurality, the present invention is not limited to this aspect in other embodiments.
That is, the vehicle type identification system 20 according to another embodiment is an aspect having at least one of the tread 202, the vehicle height detector 204, the vehicle length detector 205, and the overhang detector 206 as a feature detector. May be.

Further, the vehicle type identification system 20 according to the first embodiment has been described as being installed in the fee collection facility 1 that has the manned booth 10 and the fee collection process is performed by the receiptant who stands by at the manned booth 10. However, other embodiments are not limited to this aspect.
For example, the vehicle type identification system 20 is installed in a toll collection facility equipped with an automatic toll collection machine capable of automatically carrying out toll collection processing such as money transfer and receipt and receipt for the driver of the vehicle A and the like. May be
Further, the vehicle type identification system 20 is also called an electronic toll collection system (ETC: Electronic Toll Collection System) or an "automatic toll collection system" in which toll collection processing is automatically performed through wireless communication with a roadside antenna. It may be installed in a toll collection facility including the above).

Further, in each of the above-described embodiments, the processes of the various processes of the control unit 200 described above are stored in a computer-readable recording medium in the form of a program, and the computer reads and executes the program to execute the above-described process. Various processes are performed. The computer-readable recording medium refers to a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Further, the computer program may be distributed to the computer via a communication line, and the computer that receives the distribution may execute the program.

The program may be for realizing a part of the functions described above. Further, it may be a so-called difference file (difference program) that can realize the above-mentioned functions in combination with a program already recorded in the computer system. Further, the control unit 200 may be composed of one computer, or may be composed of a plurality of computers communicably connected.

Although some embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and modifications thereof are included in the scope of the invention and the scope of the invention, and are also included in the scope of the invention described in the claims and the scope of equivalents thereof.

1 Toll collection facility 10 Manned booth 11 Toll collection machine 20 Vehicle type discrimination system 200 Control unit 200a Vehicle type classification specification section 200b Abnormality determination section 200c Recording medium 201 Vehicle separator 201a Light projection tower 201b Light reception tower 202 Tread (feature detector)
203 License plate reader 204 Vehicle height detector (feature detector)
204a Light emitting unit 204b Light receiving unit 205 Vehicle length detector (feature detector)
205a Light emitting unit 205b Light receiving unit 206 Overhang detector (feature detector)
206a Light projecting unit 206b Light receiving unit A Vehicle A1 Vehicle body A2 Tire L Lane I Island P01, P02, P03, P04 Detection signal output patterns La, Lb, Lc Position R Object detection element F Current sensor

Claims (14)

A vehicle separator that is provided at a predetermined position along the lane, and outputs a vehicle detection signal from the time when the vehicle is detected at the predetermined position to when the vehicle is detected to exit.
A feature detector that is provided at a predetermined position along a lane and that outputs a feature detection signal during a period during which the characteristic portion of the vehicle is passing at the predetermined position,
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. A vehicle type classification specifying a vehicle type classification to which the vehicle belongs based on at least one of the feature detection signals output within a period from a stop time to a time later by a predetermined time than the stop time Department,
A recording medium on which a detection signal output pattern in which a combination of the output period of the vehicle detection signal and the output period of the characteristic detection signal is defined in advance is recorded,
When the combination of the period in which the vehicle detection signal is output from the vehicle separator and the period in which the feature detection signal is output from the feature detector does not apply to the detection signal output pattern, the vehicle separator Or an abnormality determination unit that determines that the feature detector is abnormal,
Vehicle type identification system equipped with. The feature detector is
The vehicle type determination system according to claim 1, wherein the vehicle type determination system is a tread that outputs the feature detection signal during a period in which the tire of the vehicle is passing at the predetermined position. The vehicle separator is
Having a plurality of object detection elements arranged side by side in the height direction at the predetermined position, the timing when the number of object detection elements among the object detection elements is equal to or more than a predetermined number is set as the entry detection time. The output of the vehicle detection signal is started, and the output of the vehicle detection signal is stopped when the exit detection is performed at a timing when the number of the object detection elements detecting the object is less than the predetermined number. Alternatively, the vehicle type identification system according to claim 2. The vehicle type classification specifying unit,
When the feature detection signal is output from the feature detector even though the vehicle detection signal is not output from the vehicle separator, the time at which an object starts to be detected by at least one of the object detection elements is set. The vehicle type determination system according to claim 3, wherein the vehicle type classification to which the vehicle belongs is regarded as the start time, and the time when no object is detected by any of the object detection elements is regarded as the stop time. A vehicle separator that is provided at a predetermined position along the lane, and outputs a vehicle detection signal from the time when the vehicle is detected at the predetermined position to when the vehicle is detected to exit.
A feature detector that is provided at a predetermined position along a lane and that outputs a feature detection signal during a period during which the characteristic portion of the vehicle is passing at the predetermined position,
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. A vehicle type classification specifying a vehicle type classification to which the vehicle belongs based on at least one of the feature detection signals output within a period from a stop time to a time later by a predetermined time than the stop time Department,
Equipped with
The vehicle separator is
Having a plurality of object detection elements arranged side by side in the height direction at the predetermined position, the timing when the number of object detection elements among the object detection elements is equal to or more than a predetermined number is set as the entry detection time. Output of the vehicle detection signal is started, and the output of the vehicle detection signal is stopped when the exit detection is the timing when the number of objects detecting the object among the object detection elements is less than the predetermined number,
The vehicle type classification specifying unit,
When the feature detection signal is output from the feature detector even though the vehicle detection signal is not output from the vehicle separator, the time at which an object starts to be detected by at least one of the object detection elements is set. vehicle type identification system considers the start time and the time at which the object is no longer detected in all of the object detecting device is regarded as the stop time, that identifies the vehicle type classification in which the vehicle belongs. The vehicle separator is
When at least one of the object detection elements detects the object, a temporary vehicle detection signal indicating that the object is detected is output, and all the object detection elements no longer detect the object. Output of the temporary vehicle detection signal is stopped
The vehicle type identification system according to claim 5. The feature detector is
It is a tread that outputs the feature detection signal during the passage of the vehicle tire at the predetermined position.
The vehicle type identification system according to claim 5 or 6 . A recording medium on which a detection signal output pattern in which a combination of the output period of the vehicle detection signal and the output period of the characteristic detection signal is defined in advance is recorded,
When the combination of the period in which the vehicle detection signal is output from the vehicle separator and the period in which the feature detection signal is output from the feature detector does not apply to the detection signal output pattern, the vehicle separator Or an abnormality determination unit that determines that the feature detector is abnormal ,
The vehicle type identification system according to claim 5, further comprising: The detection signal output pattern is defined in the recording medium in association with the vehicle type classification,
The vehicle type classification specifying unit is a combination of a period in which the vehicle detection signal is output from the vehicle separator, and a period in which the feature detection signal is output from the feature detector, in any of the detection signal output patterns. The vehicle type identification system according to any one of claims 1 to 4 and 8 , wherein the vehicle type classification is specified by determining whether or not it is true. The recording medium is
A plurality of detection signal output patterns are recorded,
The abnormality determination unit,
One of the detection signal output patterns specified based on information about the license plate of the vehicle among the plurality of detection signal output patterns, a period during which the vehicle detection signal is output and a period during which the characteristic detection signal is output The vehicle type identification system according to claim 1, wherein the vehicle type identification system according to any one of claims 1 to 4 and claim 8 is compared. A step in which a vehicle separator provided at a predetermined position along the lane outputs a vehicle detection signal from the time when the vehicle at the predetermined position is detected to enter and when the vehicle is detected to exit.
A characteristic detector provided at a predetermined position along the lane, outputting a characteristic detection signal during a period during which the characteristic portion of the vehicle at the predetermined position is passing,
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. Based on at least one of the feature detection signals output within a period from a stop time to a time that is a predetermined time after the stop time, a step of identifying a vehicle type classification to which the vehicle belongs,
Have a,
In the step of identifying the vehicle type classification,
A combination of a period in which the vehicle detection signal is output from the vehicle separator and a period in which the feature detection signal is output from the feature detector is a vehicle detection signal output period and a feature detection signal output period. vehicle type identification method combination of determining that if is not the case the detection signal output pattern comprising predefined, there is an abnormality in the vehicle separator or the feature detectors. A step in which a vehicle separator provided at a predetermined position along the lane outputs a vehicle detection signal from the time when the vehicle at the predetermined position is detected to enter and when the vehicle is detected to exit.
A characteristic detector provided at a predetermined position along the lane, outputting a characteristic detection signal during a period during which the characteristic portion of the vehicle at the predetermined position is passing,
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. Based on at least one of the feature detection signals output within a period from a stop time to a time that is a predetermined time after the stop time, a step of identifying a vehicle type classification to which the vehicle belongs,
Have a,
The vehicle separator has a plurality of object detection elements arranged side by side in the height direction at the predetermined position, and a timing when the number of object detection elements among the object detection elements becomes equal to or more than a predetermined number. The output of the vehicle detection signal is started at the time of the entry detection, and the timing at which the number of the object detection elements that are detecting an object is less than the predetermined number is output of the vehicle detection signal as the exit detection. Stop,
In the step of identifying the vehicle type classification,
When the feature detection signal is output from the feature detector even though the vehicle detection signal is not output from the vehicle separator, the time at which an object starts to be detected by at least one of the object detection elements is set. A vehicle type identification method for identifying a vehicle type category to which the vehicle belongs, by regarding the time when the object is no longer detected by all the object detection elements as the stop time, which is regarded as the start time . A vehicle separator that is provided at a predetermined position along the lane and that outputs a vehicle detection signal from when the vehicle is detected at the predetermined position to when the vehicle exits, and a vehicle separator that is provided at the predetermined position along the lane and that is at the predetermined position A characteristic detector that outputs a characteristic detection signal during the passage of a characteristic portion of the vehicle, a detection signal output pattern in which a combination of the vehicle detection signal output period and the characteristic detection signal output period is defined in advance. A recording medium in which the
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. A vehicle type classification specifying a vehicle type classification to which the vehicle belongs based on at least one of the feature detection signals output within a period from a stop time to a time later by a predetermined time than the stop time Means , and
When the combination of the period in which the vehicle detection signal is output from the vehicle separator and the period in which the feature detection signal is output from the feature detector does not apply to the detection signal output pattern, the vehicle separator Alternatively, a program that functions as abnormality determining means for determining that the characteristic detector has an abnormality . A vehicle separator that is provided at a predetermined position along the lane and that outputs a vehicle detection signal from when the vehicle is detected at the predetermined position to when the vehicle exits, and a vehicle separator that is provided at the predetermined position along the lane and that is at the predetermined position A computer of a vehicle type identification system including a feature detector that outputs a feature detection signal during a passage of a feature part of a vehicle,
The output of the feature detection signal and the vehicle detection signal that have been output within a period from a time that is a predetermined time before the start time when the output of the vehicle detection signal is started to the start time is stopped. A vehicle type classification specifying a vehicle type classification to which the vehicle belongs based on at least one of the feature detection signals output within a period from a stop time to a time later by a predetermined time than the stop time Function as a means,
The vehicle separator is
Having a plurality of object detection elements arranged side by side in the height direction at the predetermined position, the timing when the number of object detection elements among the object detection elements is equal to or more than a predetermined number is set as the entry detection time. Output of the vehicle detection signal is started, and the output of the vehicle detection signal is stopped when the exit detection is the timing when the number of objects detecting the object among the object detection elements is less than the predetermined number,
The vehicle type classification specifying means,
When the feature detection signal is output from the feature detector even though the vehicle detection signal is not output from the vehicle separator, the time at which an object starts to be detected by at least one of the object detection elements is set. regarded as the start time, and the time at which the object is no longer detected in all of the object detecting device is regarded as the stop time, program that identifies the vehicle type classification in which the vehicle belongs.

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