JP6945495B2 - Unauthorized traffic detection device, unauthorized traffic detection system and unauthorized traffic detection method - Google Patents

Description

The present invention relates to an unauthorized traffic detection device, an unauthorized traffic detection system, and an unauthorized traffic detection method.

Patent Document 1 describes a technique for recording an entry image and an exit image of each vehicle in order to monitor fraud of various vehicles passing through a lane for collecting automatic tolls.

Japanese Unexamined Patent Publication No. 2016-095733

In a billing system on the main line such as a free flow ETC (registered trademark) system, the number information in the in-vehicle device information obtained by the radio unit and the number information obtained by the front number reading camera and the rear number reading camera are used. Is matched. However, due to the difference between the passing time of the vehicle in the radio unit and the shooting time of the front number reading camera and the rear number reading camera, the number information of different vehicles may be matched. As a result, false detection of illegal traffic occurs.

An object of the present invention is to prevent erroneous detection of illegal traffic.

The fraudulent traffic detection device according to one aspect of the present invention is
A determination unit that determines the first time and the second time based on the time when a passing vehicle is detected by a sensor installed toward the lane of the road.
The vehicle number shown on the license plate taken by the camera installed toward the lane at the first time determined by the determination unit, and the lane at the second time determined by the determination unit. It is provided with a detection unit for detecting unauthorized traffic by comparing the vehicle number indicated in the information received from the on-board unit by the radio unit installed toward the vehicle.

In the present invention, the vehicle number shown on the license plate taken at the first time is compared with the vehicle number shown on the information received from the vehicle-mounted device at the second time. The first time and the second time are determined from the time when the passing vehicle is detected. Therefore, according to the present invention, it is possible to prevent erroneous detection of illegal traffic by preventing erroneous comparison of vehicle numbers of different vehicles.

The figure which shows the structure of the fraudulent traffic detection system which concerns on Embodiment 1. FIG. The block diagram which shows the structure of the fraudulent traffic detection apparatus which concerns on Embodiment 1. FIG. The flowchart which shows the operation of the fraudulent traffic detection system which concerns on Embodiment 1. FIG. 3 is a block diagram showing a configuration of an unauthorized traffic detection device according to a modified example of the first embodiment. The figure which shows the structure of the fraudulent traffic detection system which concerns on Embodiment 2.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In each figure, the same or corresponding parts are designated by the same reference numerals. In the description of the embodiment, the description will be omitted or simplified as appropriate for the same or corresponding parts. The present invention is not limited to the embodiments described below, and various modifications can be made as needed. For example, among the embodiments described below, two or more embodiments may be combined and implemented. Alternatively, of the embodiments described below, one embodiment or a combination of two or more embodiments may be partially implemented.

Embodiment 1.
The present embodiment will be described with reference to FIGS. 1 to 3.

*** Explanation of configuration ***
The configuration of the unauthorized traffic detection system 10 according to the present embodiment will be described with reference to FIG.

The fraudulent traffic detection system 10 includes first sensors 11a and 11b, second sensors 12a and 12b, first cameras 13a and 13b, second cameras 14a and 14b, and radio units 15a and 15b.

In the present embodiment, the gate pillar 21a is installed on the upstream side and the gate pillar 21b is installed on the downstream side in the vehicle traveling direction on the lanes 20a and 20b of the road. Lanes 20a and 20b are, for example, the main lanes of a highway.

The first sensors 11a and 11b are installed toward the lanes 20a and 20b, respectively. The first sensors 11a and 11b are attached to the gate pillar 21a so as to be located above the lanes 20a and 20b, respectively. The first sensors 11a and 11b may be sensors of any type, but in the present embodiment, they are laser sensors.

The second sensors 12a and 12b are installed toward the lanes 20a and 20b, respectively, like the first sensors 11a and 11b. The second sensors 12a and 12b are attached to the gate pillar 21a so as to be located above the lanes 20a and 20b, respectively. The second sensors 12a and 12b may be sensors of any type, but in the present embodiment, they are laser sensors.

The first sensors 11a and 11b are arranged on the upstream side of the second sensors 12a and 12b. That is, the first sensor 11a and the second sensor 12a, which are a pair of laser sensors, are arranged apart from each other in the vehicle traveling direction in the lane 20a. Similarly, the pair of laser sensors, the first sensor 11b and the second sensor 12b, are arranged apart from each other in the vehicle traveling direction of the lane 20b.

The first sensor 11a and the second sensor 12a are separately arranged on both sides of the lane 20a so as to irradiate the laser from both sides of the lane 20a toward the lane 20a. Similarly, the first sensor 11b and the second sensor 12b are separately arranged on both sides of the lane 20b so as to irradiate the laser from both sides of the lane 20b toward the lane 20b.

The first cameras 13a and 13b are installed toward the lanes 20a and 20b, respectively. The first cameras 13a and 13b are attached to the gate pillar 21b so as to be located above the lanes 20a and 20b, respectively. Specifically, the first cameras 13a and 13b are front number reading cameras.

The second cameras 14a and 14b are installed toward the lanes 20a and 20b, respectively. The second cameras 14a and 14b are attached to the gate pillar 21b so as to be located above the lanes 20a and 20b, respectively. Specifically, the second cameras 14a and 14b are cameras for reading rear numbers.

The first cameras 13a and 13b are arranged on the upstream side of the second cameras 14a and 14b. That is, the pair of cameras, the first camera 13a and the second camera 14a, are arranged apart from each other in the vehicle traveling direction in the lane 20a. Similarly, the pair of cameras, the first camera 13b and the second camera 14b, are arranged apart from each other in the vehicle traveling direction in the lane 20b.

The radio units 15a and 15b are installed toward the lanes 20a and 20b, respectively. The radio units 15a and 15b are attached to the gate pillar 21b so as to be located above the lanes 20a and 20b, respectively. Specifically, the radio units 15a and 15b are ETC (registered trademark) radio units.

In the present embodiment, the vehicle types of the passing vehicles 22a and 22b passing through the lanes 20a and 20b are accurately identified by the first sensors 11a and 11b and the second sensors 12a and 12b, and the first cameras 13a and 13b and the first camera 13a and 13b and the first are used. It is possible to easily link the number information acquired by the two cameras 14a and 14b with the on-board unit information acquired by the wireless units 15a and 15b.

In the present embodiment, the first sensors 11a, 11b and the second sensors 12a, 12b, and the passing vehicle 22a, can identify the vehicle according to the charge classification such as the shape and the number of axles of the passing vehicles 22a, 22b by the laser point cloud image. Radio units 15a and 15b for acquiring vehicle-mounted device information by communicating with 22b are arranged. By grasping the towed state and the number of axles of the passing vehicles 22a and 22b and associating them with the number information, it is possible to accurately determine the vehicle type.

In the present embodiment, two sensors are installed for each lane, but as a modification, only one sensor may be installed for each lane.

In the present embodiment, two cameras are installed in each lane, but as a modification, only one camera may be installed in each lane.

If there is only one lane, at least one sensor, camera and radio unit may be installed in that lane. If there are three or more lanes, at least one sensor, camera, and radio unit may be installed for each lane.

The configuration of the unauthorized traffic detection device 30 according to the present embodiment will be described with reference to FIG.

The fraudulent traffic detection device 30 is a computer. The fraud detection device 30 includes a processor 31 and other hardware such as a memory 32 and a communication device 33. The processor 31 is connected to other hardware via a signal line and controls these other hardware.

The fraudulent traffic detection device 30 includes a determination unit 41, a determination unit 42, and a detection unit 43 as functional elements. The functions of the determination unit 41, the determination unit 42, and the detection unit 43 are realized by software. Specifically, the functions of the determination unit 41, the determination unit 42, and the detection unit 43 are realized by the unauthorized traffic detection program. The fraudulent traffic detection program is a program that causes a computer to execute the processes performed by the determination unit 41, the determination unit 42, and the detection unit 43 as determination processing, determination processing, and detection processing, respectively. The fraud detection program may be recorded and provided on a computer-readable medium, may be stored and provided on a recording medium, or may be provided as a program product.

The processor 31 is a device that executes an unauthorized traffic detection program. The processor 31 is, for example, a CPU. "CPU" is an abbreviation for Central Processing Unit.

The memory 32 is a device that stores the unauthorized traffic detection program in advance or temporarily. The memory 32 is, for example, a RAM, a flash memory, or a combination thereof. "RAM" is an abbreviation for Random Access Memory.

The communication device 33 includes a receiver that receives data input to the fraudulent traffic detection program and a transmitter that transmits data output from the fraudulent traffic detection program. The communication device 33 is, for example, a communication chip or a NIC. "NIC" is an abbreviation for Network Interface Card.

The illegal traffic detection program is read from the memory 32 into the processor 31 and executed by the processor 31. In the memory 32, not only the unauthorized traffic detection program but also the OS is stored. "OS" is an abbreviation for Operating System. The processor 31 executes the unauthorized traffic detection program while executing the OS. A part or all of the illegal traffic detection program may be incorporated in the OS.

The fraudulent traffic detection program and the OS may be stored in the auxiliary storage device. The auxiliary storage device is, for example, an HDD, a flash memory, or a combination thereof. "HDD" is an abbreviation for Hard Disk Drive. When the unauthorized traffic detection program and the OS are stored in the auxiliary storage device, they are loaded into the memory 32 and executed by the processor 31.

The fraud detection device 30 may include a plurality of processors that replace the processor 31. These plurality of processors share the execution of the illegal traffic detection program. Each processor is, for example, a CPU.

Data, information, signal values and variable values used, processed or output by the illegal traffic detection program are stored in the memory 32, the auxiliary storage device, or the register or cache memory in the processor 31. In the present embodiment, the observation results 51 of the first sensors 11a and 11b and the second sensors 12a and 12b, the captured images 52 of the first cameras 13a and 13b and the second cameras 14a and 14b, and the reception of the radio units 15a and 15b. The information 53 is stored in the memory 32.

The fraudulent traffic detection device 30 may be composed of one computer or a plurality of computers. When the fraudulent traffic detection device 30 is composed of a plurality of computers, the functions of the determination unit 41, the determination unit 42, and the detection unit 43 may be distributed and realized in each computer.

*** Explanation of operation ***
The operation of the unauthorized traffic detection system 10 according to the present embodiment will be described with reference to FIG. The operation of the fraudulent traffic detection system 10 corresponds to the fraudulent traffic detection method according to the present embodiment.

Hereinafter, the operation using the device on the lane 20a side will be described. The operation using the device on the lane 20b side is the same as the operation using the device on the lane 20a side, and thus the description thereof will be omitted.

In step S101, the first sensor 11a and the second sensor 12a detect the passing vehicle 22a. Specifically, the first sensor 11a and the second sensor 12a, which are laser sensors, irradiate the lane 20a with lasers from both sides and acquire the reflection data of the laser light from the passing vehicle 22a. The first sensor 11a and the second sensor 12a output the observation result 51 including the acquired reflection data to the unauthorized traffic detection device 30. The observation result 51 is stored in the memory 32 of the unauthorized traffic detection device 30 via the communication device 33 of the unauthorized traffic detection device 30.

The determination unit 41 of the unauthorized traffic detection device 30 determines the first time T1 and the second time T2 based on the time T0 when the passing vehicle 22a is detected by the first sensor 11a and the second sensor 12a. Specifically, the determination unit 41 reads the observation results 51 of the first sensor 11a and the second sensor 12a from the memory 32. The determination unit 41 determines the difference from the road surface and detects the vehicle based on the reflection data of the laser beam from the passing vehicle 22a included in the read observation result 51. The determination unit 41 regards the time when the passing vehicle 22a is detected by this vehicle detection as the time T0 when the passing vehicle 22a is detected by the first sensor 11a and the second sensor 12a, and sets it as the first time T1 as follows. The second time T2 is determined.

In the present embodiment, the photographing regions of the first camera 13a and the second camera 14a are located at positions ahead of the detection regions of the first sensor 11a and the second sensor 12a in the vehicle traveling direction in the lane 20a. In this case, the determination unit 41 outputs a shooting command to the first camera 13a triggered by the detection of the passing vehicle 22a by the first sensor 11a and the second sensor 12a, thereby causing the first camera 13a to take a shooting command. Determines the time at which is input as the first time T1. That is, the determination unit 41 outputs a shooting command to the first camera 13a, which is a front number reading camera, using the vehicle detection as a trigger. After outputting the shooting command to the first camera 13a, the determination unit 41 also outputs the shooting command to the second camera 14a at the timing when the passing vehicle 22a completely passes through the gate pillar 21b. That is, the determination unit 41 outputs the shooting command to the second camera 14a, which is the rear number reading camera, with a time lag from the shooting command to the first camera 13a.

In the present embodiment, the detection regions of the first sensor 11a and the second sensor 12a are separated from each other in the vehicle traveling direction of the lane 20a. That is, there are two or more detection regions of the sensor separated from each other in the vehicle traveling direction of the lane 20a. Further, the communication area of the radio unit 15a is located at a position ahead of the detection areas of the first sensor 11a and the second sensor 12a in the vehicle traveling direction in the lane 20a. In this case, the determination unit 41 calculates the speed of the passing vehicle 22a from the time T0 when the passing vehicle 22a is detected by the first sensor 11a and the second sensor 12a. The determination unit 41 predicts the time when the passing vehicle 22a reaches the communication area of the radio unit 15a according to the calculated speed, and determines the predicted time as the second time T2.

The discriminating unit 42 of the unauthorized traffic detection device 30 reads the observation results 51 of the first sensor 11a and the second sensor 12a from the memory 32. The discriminating unit 42 discriminates the vehicle type of the passing vehicle 22a from the read observation result 51. Specifically, the discriminating unit 42 refers to the reflection data used for vehicle detection by the determining unit 41, calculates the vehicle height, the vehicle width, and the vehicle length dimension by observing the cross section of the vehicle body shape, and determines the towing state and the vehicle length dimension. The vehicle type is determined by identifying the number of axles.

In step S102, the first camera 13a photographs the license plate at the first time T1 determined by the determination unit 41 of the unauthorized traffic detection device 30. In the present embodiment, the first camera 13a photographs the license plate in front of the vehicle passing through the imaging area of the first camera 13a according to the photographing command input from the determination unit 41. After that, the second camera 14a also shoots the license plate behind the vehicle passing through the shooting area of the second camera 14a according to the shooting command input from the determination unit 41. The first camera 13a and the second camera 14a output the obtained license plate images as captured images 52 to the unauthorized traffic detection device 30. The captured image 52 is stored in the memory 32 of the unauthorized traffic detection device 30 via the communication device 33 of the unauthorized traffic detection device 30.

In step S103, the radio unit 15a receives information from the vehicle-mounted device at the second time T2 determined by the determination unit 41 of the unauthorized traffic detection device 30. In the present embodiment, the radio unit 15a communicates with the vehicle-mounted device of the vehicle passing through the communication area of the radio unit 15a and receives the vehicle-mounted device information without receiving a command from the unauthorized traffic detection device 30. The radio unit 15a outputs the received vehicle-mounted device information as reception information 53 to the unauthorized traffic detection device 30. The received information 53 is stored in the memory 32 of the unauthorized traffic detection device 30 via the communication device 33 of the unauthorized traffic detection device 30.

In step S104, the detection unit 43 of the unauthorized traffic detection device 30 has the vehicle number shown on the license plate photographed by the first camera 13a and the second camera 14a, and the information received from the vehicle-mounted device by the radio unit 15a. Compare with the vehicle number shown in. Specifically, the detection unit 43 reads the captured image 52 of the first camera 13a and the second camera 14a and the reception information 53 of the wireless unit 15a from the memory 32. The detection unit 43 performs image recognition processing and recognizes the vehicle number written on the license plate shown in the read photographed image 52. Further, the detection unit 43 identifies the vehicle number recorded on the vehicle-mounted device by referring to the number information included in the read reception information 53. Then, the detection unit 43 determines whether or not the vehicle numbers match.

If the vehicle numbers match, the process of step S105 is performed. If the vehicle numbers do not match, the process of step S107 is performed.

In step S105, the detection unit 43 of the unauthorized traffic detection device 30 compares the vehicle type determined by the determination unit 42 with the vehicle type indicated in the information received from the vehicle-mounted device by the radio unit 15a. Specifically, the detection unit 43 determines one of the five highway toll categories based on the result of recognizing the vehicle body shape by the first sensor 11a and the second sensor 12a and the on-board unit information acquired by the radio unit 15a. Compare with the identified results. The detection unit 43 may use not only the on-board unit information but also the information written on the license plate shown in the captured image 52 to identify the vehicle type.

If the vehicle types match, the process of step S106 is performed. If the vehicle types do not match, the process of step S107 is performed.

In step S106, the detection unit 43 determines that the passing vehicle 22a is not illegally passing.

In step S107, the detection unit 43 determines that the passing vehicle 22a is passing illegally. That is, the detection unit 43 detects illegal traffic.

The determination result of the detection unit 43 in steps S106 and S107 is used in other processing such as billing processing or processing for opening and closing the gate of the toll collection lane.

*** Explanation of the effect of the embodiment ***
In the present embodiment, the vehicle number shown on the license plate taken at the first time T1 is compared with the vehicle number shown in the information received from the vehicle-mounted device at the second time T2. The first time T1 and the second time T2 are determined from the time T0 when the passing vehicles 22a and 22b are detected. Therefore, according to the present embodiment, it is possible to prevent erroneous detection of illegal traffic by preventing erroneous comparison of vehicle numbers of different vehicles.

In the present embodiment, the vehicle detection time can be linked to the shooting result of the front number reading camera by outputting a shooting command to the front number reading camera and identifying the vehicle number information by using the vehicle detection as a trigger. can.

In the present embodiment, whether the on-board unit information should be compared with the actual communication time of the wireless unit 15a and the arrival time of the wireless unit predicted by the passing speed calculated from the vehicle detection time of the pair of laser sensors. It is judged. Therefore, when the on-board unit information is received in the adjacent lane 20b due to the lane change, it is possible to avoid a situation in which the registered vehicle type and number information in the on-board unit information is erroneously made into a comparison target.

According to this embodiment, it is possible to detect the remounting of the on-board unit.

*** Other configurations ***
In the present embodiment, the functions of the determination unit 41, the determination unit 42, and the detection unit 43 of the unauthorized traffic detection device 30 are realized by software, but as a modification, the functions of the determination unit 41, the determination unit 42, and the detection unit 43 are realized. May be realized by hardware. The difference between this modification and the present embodiment will be mainly described.

The configuration of the unauthorized traffic detection device 30 according to the modified example of the present embodiment will be described with reference to FIG.

The fraudulent traffic detection device 30 includes hardware such as an electronic circuit 34 and a communication device 33.

The electronic circuit 34 is dedicated hardware that realizes the functions of the determination unit 41, the determination unit 42, and the detection unit 43. The electronic circuit 34 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA, an FPGA, an ASIC, or a combination of some or all of them. "IC" is an abbreviation for Integrated Circuit. "GA" is an abbreviation for Gate Array. "FPGA" is an abbreviation for Field-Programmable Gate Array. "ASIC" is an abbreviation for Application Special Integrated Circuit.

The fraudulent traffic detection device 30 may include a plurality of electronic circuits that replace the electronic circuit 34. As a whole, these plurality of electronic circuits realize the functions of the determination unit 41, the determination unit 42, and the detection unit 43. Each electronic circuit is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, a logic IC, a GA, an FPGA, an ASIC, or a combination of some or all of them. ..

As another modification, the functions of the determination unit 41, the determination unit 42, and the detection unit 43 may be realized by a combination of software and hardware. That is, a part of the functions of the determination unit 41, the determination unit 42, and the detection unit 43 may be realized by dedicated hardware, and the rest may be realized by software.

The processor 31 and the electronic circuit 34 are both processing circuits. That is, regardless of the configuration shown in FIG. 2 or FIG. 4, the operation of the determination unit 41, the determination unit 42, and the detection unit 43 is performed by the processing circuit.

Embodiment 2.
The difference between the present embodiment and the first embodiment will be mainly described with reference to FIG.

Similar to the first embodiment, the unauthorized traffic detection system 10 includes the first sensors 11a, 11b, the second sensors 12a, 12b, the first cameras 13a, 13b, the second cameras 14a, 14b, and the wireless unit. It includes 15a and 15b.

In the present embodiment, one gate pillar 21 is installed on the lanes 20a and 20b of the road. The first sensors 11a, 11b, the second sensors 12a, 12b, the first cameras 13a, 13b, the second cameras 14a, 14b, and the radio units 15a, 15b are attached to the gate pillar 21.

Similar to the first embodiment, the first sensors 11a and 11b are arranged on the upstream side of the second sensors 12a and 12b. The first cameras 13a and 13b are arranged on the upstream side of the second cameras 14a and 14b.

Unlike the first embodiment, the first cameras 13a and 13b, the second cameras 14a and 14b, and the radio units 15a and 15b are arranged between the first sensors 11a and 11b and the second sensors 12a and 12b. ..

In the current free flow ETC (registered trademark) equipment, the radio unit and the device for reading the number are arranged on the same gate pillar. Therefore, when the laser sensor is arranged on the same gate pillar as in the present embodiment, the laser sensor is arranged on the same gate pillar. There is no need to construct additional gate posts to place the laser sensor. In this case, it is desirable to use the wireless units 15a and 15b having an angle measuring function. Specifically, if an antenna having a function of identifying the direction of radio waves arriving at the radio units 15a and 15b is used, it is possible to determine whether the on-board unit is in the lane 20a or the lane 20b, and within the communication area. It is possible to track the running history. Then, the association of the observation data of the first sensors 11a and 11b and the second sensors 12a and 12b becomes more accurate.

In the present embodiment, the photographing areas of the first camera 13a and the second camera 14a overlap with the detection areas of the first sensor 11a and the second sensor 12a. In this case, the determination unit 41 of the unauthorized traffic detection device 30 compares the latest captured image 52 of the first camera 13a when the passing vehicle 22a is detected by the first sensor 11a and the second sensor 12a. By letting the 43 use it, the time when the captured image 52 is captured by the first camera 13a is determined to be the first time T1. Therefore, unlike the first embodiment, the determination unit 41 does not use the detection of the passing vehicle 22a by the first sensor 11a and the second sensor 12a as a trigger to output a shooting command to the first camera 13a.

In the present embodiment, the first sensor 11a and the second sensor 12a detect a vehicle passing under the gate pillar 21 and determine the vehicle type by observing the cross section of the vehicle body. The first camera 13a is triggered by the vehicle detection. The latest image taken by the first camera 13a is used instead of taking a picture with. As a result, the vehicle detection time and the shooting result of the first camera 13a can be linked.

In the present embodiment, it is possible to detect that the on-board unit communicating with the wireless unit 15a is an on-board unit of a vehicle in an adjacent lane, and an angle measuring function is added to the wireless unit 15a in order to improve the accuracy of data association. Is adopted. By identifying which lane the on-board unit of the vehicle that has passed under the gate pillar 21 is in, and tracking the communication state, it is possible to improve the accuracy of linking with the detection result of each laser sensor.

10 Unauthorized traffic detection system, 11a, 11b 1st sensor, 12a, 12b 2nd sensor, 13a, 13b 1st camera, 14a, 14b 2nd camera, 15a, 15b radio unit, 20a, 20b lane, 21,21a, 21b Gatepost, 22a, 22b Passing vehicle, 30 Unauthorized traffic detection device, 31 processor, 32 memory, 33 communication device, 34 electronic circuit, 41 decision unit, 42 discriminator, 43 detection unit, 51 observation result, 52 captured image, 53 reception information.

Claims (7)

There are two or more lanes, and each lane has a pair of sensors that are separated from each other in the vehicle traveling direction, and a camera and a radio unit that are separated from the pair of sensors on the downstream side. In the fraudulent traffic detection device of the installed fraudulent traffic detection system
A determination unit that determines the first time and the second time based on the vehicle detection time when a passing vehicle is detected by a pair of sensors installed toward the lane of the road.
The vehicle number shown on the license plate taken by the camera installed toward the lane at the first time determined by the determination unit, and the lane at the second time determined by the determination unit. compares the vehicle number indicated on the information received from the vehicle-mounted device by the installed radio unit towards, and a detector for detecting a fraudulent way,
By comparing the arrival time of the wireless unit with the communication area predicted by the passing speed of the passing vehicle calculated from the vehicle detection time with the communication time between the wireless unit and the on-board unit, the passing vehicle An illegal traffic detection device that determines lane changes. The determination unit is triggered that the passing vehicles is detected by the pre-Symbol pair of sensor, the camera by outputting an imaging command, the time first to the imaging command is input to the camera The unauthorized traffic detection device according to claim 1, which is determined at a time. The determining unit, from the front Symbol vehicle detection time, the calculated speed of the passing vehicles, in accordance with the calculated speed, the passing vehicles predicts the time to reach the communication area of the radio unit, the time predicted The unauthorized traffic detection device according to claim 1 or 2 , which is determined at the second time. Further, a discriminating unit for discriminating the vehicle type of the passing vehicle from the observation result of the sensor is provided.
The fraudulent traffic detection according to any one of claims 1 to 3 , wherein the detection unit compares the vehicle type determined by the discriminating unit with the vehicle type shown in the information to detect fraudulent traffic. Device. With the pair of sensors
With the camera
With the radio unit
An illegal traffic detection system including the unauthorized traffic detection device according to any one of claims 1 to 4. Examples pair of sensors being spaced apart in the vehicle traveling direction of the lane, fraud traffic detection system of claim 5, comprising a laser sensor of a pair of irradiating a laser toward the lane from both sides of the lane .. There are two or more lanes, and each lane has a pair of sensors that are separated from each other in the vehicle traveling direction, and a camera and a wireless unit that are separated from the pair of sensors on the downstream side. In the fraudulent traffic detection method of the installed fraudulent traffic detection system,
A pair of sensors installed toward the lane of the road detects passing vehicles and
The fraudulent traffic detection device determines the first time and the second time based on the vehicle detection time when the passing vehicle is detected by the pair of sensors.
A camera installed toward the lane photographs the license plate at the first time determined by the unauthorized traffic detection device.
The radio unit installed toward the lane receives information from the on-board unit at the second time determined by the unauthorized traffic detection device, and receives information from the vehicle-mounted device.
The illegal traffic detection device detects illegal traffic by comparing the vehicle number shown on the license plate photographed by the camera with the vehicle number shown in the information received by the radio unit. At the same time, the passage is made by comparing the arrival time of the radio unit with the communication area predicted by the passing speed of the passing vehicle calculated from the vehicle detection time with the communication time between the radio unit and the vehicle-mounted device. Unauthorized traffic detection method for determining lane change of a vehicle.

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