WO2021152824A1 - 車両監視システム、車両監視方法、及び車両監視装置 - Google Patents

車両監視システム、車両監視方法、及び車両監視装置 Download PDF

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Publication number
WO2021152824A1
WO2021152824A1 PCT/JP2020/003695 JP2020003695W WO2021152824A1 WO 2021152824 A1 WO2021152824 A1 WO 2021152824A1 JP 2020003695 W JP2020003695 W JP 2020003695W WO 2021152824 A1 WO2021152824 A1 WO 2021152824A1
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WIPO (PCT)
Prior art keywords
vehicle
monitored
sound information
optical fiber
unit
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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PCT/JP2020/003695
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English (en)
French (fr)
Japanese (ja)
Inventor
貴史 小梨
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NEC Corp
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NEC Corp
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Priority to PCT/JP2020/003695 priority Critical patent/WO2021152824A1/ja
Priority to US17/795,942 priority patent/US12327473B2/en
Priority to JP2021574407A priority patent/JP7424394B2/ja
Publication of WO2021152824A1 publication Critical patent/WO2021152824A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/02—Detecting movement of traffic to be counted or controlled using treadles built into the road
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Definitions

  • This disclosure relates to a vehicle monitoring system, a vehicle monitoring method, and a vehicle monitoring device.
  • Patent Document 1 a system for monitoring a vehicle (automobile) traveling on a road using an optical fiber.
  • an optical fiber is laid under a road, two pulses (one pulse is delayed more than the other pulse) are incident on the optical fiber, and the two pulses are in a specific section.
  • the backscattered pulses are detected at the start and end points of.
  • a frequency deviation occurs due to the pressure change in the specific section. Using this, it is detected that there is a moving vehicle in a specific section.
  • Patent Document 1 can detect the existence of a moving vehicle when the above deviation occurs in a specific section.
  • a specific monitored vehicle traveling on a road it is not possible to determine whether the vehicle detected in the specific section is the monitored vehicle, so there is a problem that it is difficult to monitor the monitored vehicle. be.
  • an object of the present disclosure is to provide a vehicle monitoring system, a vehicle monitoring method, and a vehicle monitoring device capable of solving the above-mentioned problems and monitoring the monitored vehicle with high accuracy.
  • the vehicle monitoring system is Optical fiber for sensing laid on the road and A vehicle passage detection unit that detects that a vehicle has passed a predetermined position on the road, A specific unit that identifies a vehicle that has passed the predetermined position as a vehicle to be monitored, and A receiving unit that receives sound information unique to the monitored vehicle detected by the sensing optical fiber is provided.
  • the specific part is The monitored vehicle is specified based on the sound information unique to the monitored vehicle.
  • the vehicle monitoring method is This is a vehicle monitoring method using a vehicle monitoring system.
  • a vehicle passage detection step that detects that a vehicle has passed a predetermined position on the road, The first specific step of identifying a vehicle that has passed the predetermined position as a vehicle to be monitored, and A reception step for receiving sound information unique to the monitored vehicle detected by the sensing optical fiber laid on the road, and The second specific step of identifying the monitored vehicle based on the sound information unique to the monitored vehicle, and including.
  • the vehicle monitoring device is A specific part that identifies a vehicle that has passed a predetermined position on the road as a vehicle to be monitored, It is provided with a receiving unit that receives sound information unique to the monitored vehicle detected by the sensing optical fiber laid on the road.
  • the specific part is The monitored vehicle is specified based on the sound information unique to the monitored vehicle.
  • FIG. It is a figure which shows the configuration example of the vehicle monitoring system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the content of the correspondence table held by the specific part which concerns on Embodiment 1.
  • FIG. It is a flow chart which shows the example of the flow of the whole operation of the vehicle monitoring system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the configuration example of the vehicle monitoring system which concerns on Embodiment 2.
  • FIG. It is a figure which shows the example of the contents of the correspondence table held by the collecting part which concerns on Embodiment 2.
  • FIG. It is a figure which shows the example of the content of the vehicle DB which concerns on Embodiment 2.
  • FIG. 5 is a flow chart showing an example of an operation flow for registering information of a vehicle that has passed a predetermined position on a road in a vehicle DB in the vehicle monitoring system according to the second embodiment.
  • FIG. 5 is a flow chart showing an example of an operation flow for retrieving information on a vehicle to be monitored from a vehicle DB in the vehicle monitoring system according to the second embodiment.
  • It is a block diagram which shows the example of the hardware composition of the computer which realizes the vehicle monitoring apparatus which concerns on embodiment.
  • the vehicle monitoring system according to the first embodiment includes a sensing optical fiber 10, a vehicle monitoring device 20, and a vehicle passage detection unit 30. Further, the vehicle monitoring device 20 includes a receiving unit 201 and a specific unit 202.
  • the sensing optical fiber 10 is laid along the road 40.
  • the sensing optical fiber 10 is laid on the side of the road 40, but the laying method of the sensing optical fiber 10 is not limited to this.
  • the sensing optical fiber 10 may be buried under the road 40.
  • the road 40 may be an expressway or a general road as long as the sensing optical fiber 10 is laid.
  • the sensing optical fiber 10 may be laid on the road 40 in the form of a cable formed by covering one or more sensing optical fibers 10.
  • the sensing optical fiber 10 may be an existing communication optical fiber or a newly installed optical fiber.
  • the vehicle passage detection unit 30 detects that the vehicle 50 has passed a predetermined position on the road 40.
  • the vehicle passage detection unit 30 is a number reading device used in an N (Number) system or the like installed at a predetermined position on the road 40.
  • the number reading device takes a picture of the vehicle 50 that has passed through the number reading device with a camera before passing, and reads the number of the vehicle 50 from the camera image.
  • the vehicle passage detection unit 30 is not limited to the number reading device.
  • the vehicle passage detection unit 30 may be an ETC (Electronic Toll Collection) gate installed at a predetermined position on the road 40.
  • the ETC gate communicates with the ETC on-board unit mounted on the vehicle 50 that has passed through the ETC gate before passing, and acquires the information of the ETC card inserted in the ETC on-board unit.
  • the identification unit 202 identifies the vehicle 50 that has detected that the vehicle passage detection unit 30 has passed a predetermined position on the road 40 as a vehicle to be monitored.
  • the receiving unit 201 incidents pulsed light on the sensing optical fiber 10 and transmits the reflected light or scattered light generated by the pulsed light being transmitted through the sensing optical fiber 10 via the sensing optical fiber 10. , Received as return light (optical signal).
  • the sensing optical fiber 10 can detect sound information indicating a sound generated by the traveling of the vehicle 50 on the road 40. Further, the return light transmitted through the sensing optical fiber 10 includes the sound information detected by the sensing optical fiber 10 because the characteristics change according to the sound information detected by the sensing optical fiber 10.
  • the sound information generated by the traveling of the vehicle 50 on the road 40 is a dynamically fluctuating sound pattern, and the intensity of the sound, the transition of the fluctuation of the sound, and the like are changed according to the vehicle 50 traveling on the road 40. It shows different unique sound patterns.
  • FIG. 1 the sound information detected at an arbitrary detection point 11 on the sensing optical fiber 10 is shown below the detection point 11.
  • the horizontal axis represents time and the vertical axis represents sound intensity, and it can be seen that the sound pattern corresponds to the vehicle 50 traveling on the road 40.
  • the return light received by the receiving unit 201 includes sound information unique to the vehicle 50 traveling on the road 40.
  • the return light also includes sound information unique to the monitored vehicle specified by the specific unit 202. Therefore, the specifying unit 202 can specify the monitored vehicle based on the sound information unique to the monitored vehicle included in the return light.
  • the specific unit 202 is based on, for example, the time difference between the time when the receiving unit 201 transmits the pulsed light to the sensing optical fiber 10 and the time when the receiving unit 201 receives the return light, the intensity of the returning light received by the receiving unit 201, and the like. , It is possible to specify at which position (distance from the vehicle monitoring device 20) the return light is generated on the sensing optical fiber 10.
  • the identification unit 202 has an identification number for identifying the vehicle passage detection unit 30 for each vehicle passage detection unit 30, and a detection point 11 corresponding to a predetermined position at which the vehicle passage detection unit 30 detects the passage of the vehicle 50. And the position information indicating the position (distance from the vehicle monitoring device 20) of the detection point 11 are stored in advance in a corresponding table associated with the above.
  • FIG. 2 shows an example of the contents of the corresponding table. Although it is assumed in FIG. 2 that a plurality of vehicle passage detection units 30 exist on the road 40, it is sufficient that at least one vehicle passage detection unit 30 exists on the road 40.
  • the specific unit 202 can acquire the sound information detected by the sensing optical fiber 10 at the detection point 11 corresponding to the predetermined position on the road 40. Therefore, when the vehicle passage detection unit 30 detects that the monitored vehicle has passed a predetermined position on the road 40, the sound information of the vehicle 50 detected by the sensing optical fiber 10 at the detection point 11 corresponding to the predetermined position. Is acquired, and the acquired sound information may be specified as sound information unique to the monitored vehicle.
  • the specifying unit 202 can specify at which position on the sensing optical fiber 10 the return light received by the receiving unit 201 is generated. Therefore, the specifying unit 202 can specify the position of the monitored vehicle by specifying the position on the sensing optical fiber 10 where the return light including the sound information unique to the monitored vehicle is generated. It becomes.
  • the sound information generated by the traveling of the vehicle 50 on the road 40 indicates a unique sound pattern corresponding to the vehicle 50.
  • this sound pattern is considered to be different depending on the characteristics of the vehicle 50.
  • the characteristics of the vehicle 50 are, for example, a vehicle type (for example, a general passenger car, a bus, a truck, etc.), a tire type (for example, a normal tire, a studless tire, a tire equipped with a chain, etc.) and the like. Therefore, the specifying unit 202 can identify the characteristics of the monitored vehicle by analyzing the dynamic change of the sound pattern indicated by the sound information unique to the monitored vehicle.
  • the specific unit 202 holds in advance a sound pattern corresponding to the vehicle type as a matching pattern for each vehicle type.
  • the specific unit 202 compares the sound pattern indicated by the sound information of the monitored vehicle with the matching pattern for each vehicle type.
  • the specific unit 202 indicates that the vehicle type of the monitored vehicle corresponds to the matching pattern.
  • the specific unit 202 may also hold a matching pattern for each tire type in advance with respect to the tire type, and determine the tire type of the vehicle to be monitored by the same method as the vehicle type.
  • a method of using a learning model by a convolutional neural network can be considered.
  • the specific unit 202 inputs a plurality of sets of teacher data indicating the vehicle type and sound patterns corresponding to the vehicle type, and builds and holds a learning model for the vehicle type in advance.
  • the specific unit 202 inputs the sound pattern indicated by the sound information of the monitored vehicle into the learning model.
  • the specific unit 202 obtains the vehicle type of the monitored vehicle as the output result of the learning model.
  • the specific unit 202 may construct and hold a learning model for the tire type in advance, and determine the tire type of the vehicle to be monitored by the same method as the vehicle type.
  • the sound pattern used to identify the monitored vehicle in the specific unit 202 is not limited to the sound pattern of the sound information as shown in FIG.
  • the sound pattern used to identify the vehicle to be monitored may be the sound pattern of the sound information after the sound information shown in FIG. 1 is frequency-analyzed, or the sound after the sound information after the frequency analysis is further filtered. It may be used as a sound pattern for information.
  • the specifying unit 202 can specify the position of the monitored vehicle based on the sound information unique to the monitored vehicle detected by the sensing optical fiber 10 at the arbitrary detection point 11. ..
  • the specific unit 202 is based on the sound information unique to the monitored vehicle detected by the sensing optical fiber 10 at the plurality of detection points 11 (two detection points 11 in FIG. 1), and the position locus of the position of the monitored vehicle. May be identified and the monitored vehicle may be tracked based on the identified position trajectory.
  • the vehicle passage detection unit 30 can be a number reading device.
  • the vehicle passage detection unit 30 which is a number reading device can not only detect the passage of the vehicle 50 but also read the number of the vehicle 50 which has detected the passage. Therefore, the specific unit 202 may hold the specified features and positions of the monitored vehicle in association with the number of the monitored vehicle.
  • step S101 when the vehicle passage detection unit 30 detects that the vehicle 50 has passed a predetermined position on the road 40, the specific unit 202 monitors the vehicle 50 detected by the vehicle passage detection unit 30. It is specified as a vehicle (step S101).
  • the receiving unit 201 receives from the sensing optical fiber 10 the return light including the sound information unique to the monitored vehicle detected by the sensing optical fiber 10 (step S102). Then, the specifying unit 202 identifies the monitored vehicle based on the sound information unique to the monitored vehicle included in the return light received by the receiving unit 201 (step S103).
  • the identification unit 202 specifies the vehicle 50 that has passed the predetermined position on the road 40 as the vehicle to be monitored.
  • the receiving unit 201 receives the sound information unique to the monitored vehicle detected by the sensing optical fiber 10.
  • the identification unit 202 identifies the monitored vehicle based on the sound information unique to the monitored vehicle. Therefore, since the vehicle to be monitored can be identified from the vehicles 50 traveling on the road 40, the vehicle to be monitored can be monitored with high accuracy.
  • the monitoring of the vehicle to be monitored can also be performed by the N system that reads the number of the vehicle 50 from the camera image.
  • the range that can be monitored by the N system is limited to the range in which the camera is installed, and the monitored vehicle cannot be monitored in other ranges.
  • the monitoring of the monitored vehicle can also be performed by mounting a positioning device using GPS (Global Positioning System) or the like on the monitored vehicle and collecting the position information measured by the monitored vehicle.
  • GPS Global Positioning System
  • the monitoring target is wide-range in the wide range in which the sensing optical fiber 10 is laid.
  • the vehicle can be monitored.
  • an existing communication optical fiber can be used as the sensing optical fiber 10. In that case, since no additional equipment for monitoring the monitored vehicle is required, the vehicle monitoring system can be constructed at low cost.
  • the optical fiber sensing technology using the sensing optical fiber 10 as a sensor is used. Therefore, there are advantages such as being unaffected by electromagnetic noise, eliminating the need for power supply to the sensor, being excellent in environmental resistance, and facilitating maintenance.
  • the vehicle monitoring system according to the second embodiment is a more specific version of the vehicle monitoring system according to the first embodiment described above.
  • a configuration example of the vehicle monitoring system according to the second embodiment will be described with reference to FIG.
  • the vehicle monitoring device 20 of the first embodiment described above is replaced with the vehicle monitoring device 20A
  • the vehicle passage detection unit 30 is replaced with the number reading device 30A. It is replaced with.
  • the vehicle monitoring device 20A includes a receiving unit 211, a collecting unit 212, a frequency analysis unit 213, a filter unit 214, an extraction unit 215, an integrated unit 216, a vehicle DB (Database) 217, and a search unit 218.
  • the receiving unit 211 corresponds to the receiving unit 201 of FIG. Further, the combination of the collection unit 212, the frequency analysis unit 213, the filter unit 214, the extraction unit 215, the integration unit 216, the vehicle DB 217, and the search unit 218 corresponds to the specific unit 202 in FIG.
  • the receiving unit 211 incidents pulsed light on the sensing optical fiber 10 and transmits the reflected light or scattered light generated by the pulsed light being transmitted through the sensing optical fiber 10 via the sensing optical fiber 10. , Received as return light.
  • the return light received by the receiving unit 211 includes sound information indicating a sound generated by the traveling of the vehicle 50 on the road 40.
  • the collecting unit 212 returns, for example, based on the time difference between the time when the receiving unit 211 transmits the pulsed light to the sensing optical fiber 10 and the time when the receiving unit 211 receives the return light, the intensity of the return light received by the receiving unit 211, and the like. It is possible to specify at which position (distance from the vehicle monitoring device 20A) the light is generated on the sensing optical fiber 10.
  • the collecting unit 212 indicates, for each of the plurality of detection points 11 on the sensing optical fiber 10, an identification number for identifying the detection points 11 and the position of the detection points 11 (distance from the vehicle monitoring device 20).
  • a correspondence table associated with the position information is stored in advance. Further, with respect to the detection point 11 corresponding to the predetermined position where the number reading device 30A detects the passage of the vehicle 50, the identification number for identifying the number reading device 30A is also associated with the identification number of the detection point 11.
  • FIG. 5 shows an example of the contents of the corresponding table.
  • the collecting unit 212 identifies the detection point 11 at which the return light is generated by collating the position on the sensing optical fiber 10 where the return light is generated with the corresponding table of FIG. It is possible to do. Therefore, the collecting unit 212 collects sound information included in the return light from the return light generated at the detection points 11 for each of the plurality of detection points 11.
  • the frequency analysis unit 213 frequency-analyzes the sound information for each of the plurality of detection points 11 collected by the collection unit 212.
  • a method of frequency analysis for example, a method of wavelet transforming sound information can be considered, but the method is not limited thereto.
  • the filter unit 214 filters the sound information after frequency analysis for each of the plurality of detection points 11 frequency-analyzed by the frequency analysis unit 213 in order to remove noise components.
  • the filtered sound information for each of the plurality of detection points 11 filtered by the filter unit 214 includes sound information such as exhaust sound and road noise of the vehicle 50 traveling on the road 40. Further, the sound information of the vehicle 50 indicates a unique sound pattern that dynamically changes according to the characteristics of the vehicle 50 (for example, vehicle type, tire type, etc.).
  • the extraction unit 215 extracts the characteristics of the vehicle 50 by analyzing the dynamic change of the sound pattern peculiar to the vehicle 50 traveling on the road 40.
  • a method of extracting the features of the vehicle 50 in the extraction unit 215, a method of using pattern matching as described above, a method of using a learning model, and the like can be considered.
  • the method for extracting the features of the vehicle 50 is not limited to this.
  • the extraction unit 215 extracts the time when the sound information is detected and the information of the detection point 11 as the information indicating the position locus of the vehicle 50 for the vehicle 50 whose features are extracted from the sound information.
  • the number reading device 31A is installed at a predetermined position on the road 40, detects that the vehicle 50 has passed the predetermined position, and reads the detected number of the vehicle 50.
  • the integration unit 216 acquires the number of the vehicle 50 that has passed a predetermined position on the road 40 from the number reading device 31A.
  • the integration unit 216 detects the vehicle at the detection point 11 corresponding to the predetermined position by the sensing optical fiber 10.
  • the sound information of the 50 is specified as the sound information of the vehicle 50 that has passed the predetermined position.
  • the integration unit 216 makes the information of the number of the vehicle 50 acquired from the number reading device 31A and the information of the feature and the position trajectory of the vehicle 50 extracted by the extraction unit 215 from the sound information specified above the same. It is integrated as the information of the vehicle 50 of. Then, the integration unit 216 registers the information of the integrated vehicle 50 in the vehicle DB 217.
  • the vehicle DB 217 is a database in which information integrated by the integration unit 216 is registered for each vehicle 50 that has passed a predetermined position on the road 40. Specifically, in the vehicle DB 217, the number of the vehicle 50, the characteristics of the vehicle 50, the position trajectory of the vehicle 50, and the like are registered for each vehicle 50. FIG. 6 shows an example of the contents of the vehicle DB 217.
  • the integration unit 216 may acquire a camera image of the vehicle 50 that has passed a predetermined position on the road 40 from the number reading device 31A. In this case, the integration unit 216 can extract features such as the vehicle type and color of the vehicle 50 by analyzing the acquired camera image. However, among these, the vehicle type of the vehicle 50 will be extracted from both the camera image and the sound information. As for the features extracted from both the camera image and the sound information, the integration unit 216 identifies the features specified from the preset higher priority of the camera image and the sound information as the features of the vehicle 50. It should be decided as. For example, with respect to the vehicle type of the vehicle 50, it is conceivable to raise the priority of the camera image. On the other hand, the color of the vehicle 50 is extracted only from the camera image. Therefore, the integration unit 216 may also register the color of the vehicle 50 in the vehicle DB 217 as information on the vehicle 50.
  • the search unit 218 identifies the vehicle 50 that has detected that the number reading device 31A has passed a predetermined position on the road 40 as the monitored vehicle, and monitors the vehicle DB 217 using the number of the specified monitored vehicle as a key. Search for information on the target vehicle.
  • the search unit 218 can specify the characteristics of the monitored vehicle (for example, vehicle type, tire type, etc.) from the vehicle DB 217.
  • the search unit 218 can specify the position and position locus of the monitored vehicle (time and detection point 11 when the sound information of the monitored vehicle is detected) from the vehicle DB 217. Further, the search unit 218 can track the monitored vehicle based on the position trajectory of the monitored vehicle.
  • the search unit 218 can acquire the data as shown in the lower figure of FIG. 7 based on the position trajectory of the monitored vehicle.
  • the horizontal axis indicates the position of the detection point 11 (distance from the vehicle monitoring device 20), and the vertical axis indicates the time when the sound information of the vehicle to be monitored is detected at the detection point 11.
  • the search unit 218 can specify the traveling direction, traveling speed, and acceleration / deceleration of the monitored vehicle based on the data shown in the lower figure of FIG. 7.
  • the collecting unit 212 collects sound information for each of the plurality of detection points 11 on the sensing optical fiber 10 from the return light received by the receiving unit 211 (step S201).
  • the frequency analysis unit 213 frequency-analyzes the sound information for each of the plurality of detection points 11 collected by the collection unit 212 (step S202), and the filter unit 214 frequency-analyzes the plurality of detection points collected by the frequency analysis unit 213.
  • the sound information after frequency analysis for each 11 is filtered (step S203).
  • the extraction unit 215 extracts information on the characteristics and position locus of the vehicle 50 traveling on the road 40 based on the sound information after filtering for each of the plurality of detection points 11 filtered by the filter unit 214 (step S204). ..
  • the integration unit 216 determines from the number reading device 31A on the road 40.
  • the number of the vehicle 50 that has passed the position is acquired (step S206).
  • the integration unit 216 detects the sensing optical fiber 10 at the detection point 11 corresponding to the predetermined position.
  • the sound information of the vehicle 50 is specified as the sound information of the vehicle 50 that has passed a predetermined position.
  • the integration unit 216 makes the information of the number of the vehicle 50 acquired from the number reading device 31A and the information of the feature and the position trajectory of the vehicle 50 extracted by the extraction unit 215 from the sound information specified above the same. It is integrated as the information of the vehicle 50 of the above (step S207). After that, the integration unit 216 registers the information of the integrated vehicle 50 in the vehicle DB 217 (step S208).
  • the search unit 218 identifies the vehicle 50 that has detected that the number reading device 31A has passed a predetermined position on the road 40 as the monitored vehicle (step S301). Subsequently, the search unit 218 acquires the number of the monitored vehicle from the number reading device 31A (step S302).
  • the search unit 218 searches the vehicle DB 217 for information on the monitored vehicle using the number of the monitored vehicle as a key (step S303).
  • the search unit 218 can specify the feature, position, and position locus of the monitored vehicle from the vehicle DB 217. Further, the search unit 218 can track the monitored vehicle based on the position trajectory of the monitored vehicle. In addition, the search unit 218 can specify the traveling direction, traveling speed, and acceleration / deceleration of the monitored vehicle based on the position trajectory of the monitored vehicle.
  • the extraction unit 215 describes the characteristics and the position locus of the vehicle 50 traveling on the road 40 based on the sound information for each of the plurality of detection points 11 on the sensing optical fiber 10. Extract information.
  • the integration unit 216 integrates the number of the vehicle 50 that has passed a predetermined position on the road 40 and the information of the feature and the position trajectory extracted based on the sound information of the vehicle 50, and integrates the information of the vehicle 50.
  • the search unit 218 identifies the vehicle 50 that has passed a predetermined position on the road 40 as a vehicle to be monitored, and searches the vehicle DB 217 for information on the specified vehicle to be monitored. Therefore, since the vehicle to be monitored can be identified from the vehicles 50 traveling on the road 40, the vehicle to be monitored can be monitored with high accuracy. Other effects are the same as those in the first embodiment described above.
  • the computer 60 includes a processor 601, a memory 602, a storage 603, an input / output interface (input / output I / F) 604, a communication interface (communication I / F) 605, and the like.
  • the processor 601, the memory 602, the storage 603, the input / output interface 604, and the communication interface 605 are connected by a data transmission line for transmitting and receiving data to and from each other.
  • the processor 601 is, for example, an arithmetic processing unit such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).
  • the memory 602 is, for example, a memory such as a RAM (RandomAccessMemory) or a ROM (ReadOnlyMemory).
  • the storage 603 is, for example, a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a memory card. Further, the storage 603 may be a memory such as a RAM or a ROM.
  • the storage 603 stores a program that realizes the functions of the components included in the vehicle monitoring devices 20 and 20A. By executing each of these programs, the processor 601 realizes the functions of the components included in the vehicle monitoring devices 20 and 20A, respectively. Here, when executing each of the above programs, the processor 601 may read these programs onto the memory 602 and then execute the programs, or may execute the programs without reading them onto the memory 602. The memory 602 and the storage 603 also play a role of storing information and data held by the components included in the vehicle monitoring devices 20 and 20A.
  • Non-temporary computer-readable media include various types of tangible storage media.
  • Examples of non-temporary computer-readable media include magnetic recording media (eg, flexible disks, magnetic tapes, hard disk drives), opto-magnetic recording media (eg, opto-magnetic discs), CD-ROMs (Compact Disc-ROMs), CDs. -R (CD-Recordable), CD-R / W (CD-ReWritable), semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM.
  • the program also includes.
  • the computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.
  • the input / output interface 604 is connected to a display device 6041, an input device 6042, a sound output device 6043, and the like.
  • the display device 6041 is a device that displays a screen corresponding to drawing data processed by the processor 601 such as an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube) display, and a monitor.
  • the input device 6042 is a device that receives an operator's operation input, and is, for example, a keyboard, a mouse, a touch sensor, and the like.
  • the display device 6041 and the input device 6042 may be integrated and realized as a touch panel.
  • the sound output device 6043 is a device such as a speaker that acoustically outputs sound corresponding to acoustic data processed by the processor 601.
  • the communication interface 605 sends and receives data to and from an external device.
  • the communication interface 605 communicates with an external device via a wired communication path or a wireless communication path.
  • the search unit 218 can specify the traveling speed of the monitored vehicle and whether the monitored vehicle is accelerating or decelerating. Therefore, the search unit 218 may identify a monitored vehicle whose traveling speed exceeds the legal speed or a monitored vehicle whose acceleration / deceleration is repeated or sudden braking is frequently used as a dangerous vehicle.
  • the search unit 218 identifies a dangerous vehicle, the search unit 218 notifies the dangerous vehicle or the navigation device mounted on the vehicle 50 traveling around the dangerous vehicle or the traffic information display device installed on the road 40 with an alert. It's okay.
  • the alert notification method may be a method of displaying an alert at the notification destination or a method of outputting an alert by voice from the notification destination.
  • the sensing optical fiber 10 detects the sound information of the vehicle 50 traveling on the road 40.
  • the sensing optical fiber 10 can also detect the temperature information of the road 40, and the return light transmitted through the sensing optical fiber 10 also includes the temperature information detected by the sensing optical fiber 10. Therefore, the collecting unit 212 collects temperature information for each of the plurality of detection points 11 on the sensing optical fiber 10, and identifies the frozen detection points 11 based on the temperature information for each of the plurality of detection points 11. Is also good.
  • the frozen detection point 11 may be specified by the collecting unit 212 or by another component in the vehicle monitoring device 20A.
  • the search unit 218 can specify the characteristics (for example, tire type) and the position locus of the monitored vehicle. Further, as described above, the collecting unit 212 or other components can identify the frozen detection point 11. Therefore, the search unit 218 may specify that the monitored vehicle equipped with the normal tire is approaching the frozen detection point 11. When the search unit 218 identifies that the monitored vehicle equipped with the normal tire is approaching the frozen detection point 11, the search unit 218 is installed on the navigation device mounted on the monitored vehicle or on the road 40. An alert may be sent to the traffic information display device. The method of notifying the alert is the same as above.
  • the sound information of the vehicle 50 traveling on the road 40 is detected by the sensing optical fiber 10, but the present invention is not limited to this.
  • a microphone may be installed at an arbitrary position on the road 40, and the microphone may collect sound information of the vehicle 50 traveling on the road 40.
  • the vehicle monitoring devices 20 and 20A are provided with a plurality of components, but the present invention is not limited to this.
  • the components provided in the vehicle monitoring devices 20 and 20A are not limited to being provided in one device, and may be distributed in a plurality of devices.
  • Appendix 1 Optical fiber for sensing laid on the road and A vehicle passage detection unit that detects that a vehicle has passed a predetermined position on the road, A specific unit that identifies a vehicle that has passed the predetermined position as a vehicle to be monitored, and A receiving unit that receives sound information unique to the monitored vehicle detected by the sensing optical fiber is provided. The specific part is Identify the monitored vehicle based on the sound information unique to the monitored vehicle. Vehicle monitoring system. (Appendix 2) The specific part is Identify the features and position of the monitored vehicle based on the sound information unique to the monitored vehicle. The vehicle monitoring system according to Appendix 1.
  • the specific part is Based on the sound information unique to the monitored vehicle detected by the sensing optical fiber at a plurality of detection points, the position locus of the position of the monitored vehicle is specified, and the monitored vehicle is determined based on the specified position locus.
  • Chase The vehicle monitoring system described in Appendix 2.
  • the specific part is When the monitored vehicle passes the predetermined position, the sound information of the vehicle detected by the sensing optical fiber at the detection point corresponding to the predetermined position is specified as sound information unique to the monitored vehicle.
  • the vehicle monitoring system according to Appendix 2 or 3. (Appendix 5)
  • the vehicle passage detection unit A number reading device that reads the number of a vehicle that has passed the predetermined position.
  • Optical fiber for sensing 20A Vehicle monitoring device 201 Reception unit 202 Specific unit 211 Reception unit 212 Collection unit 213 Frequency analysis unit 214 Filter unit 215 Extraction unit 216 Integration unit 217 Vehicle DB 218 Search unit 30 Vehicle passage detection unit 30A Number reader 40 Road 50 Vehicle 60 Computer 601 Processor 602 Memory 603 Storage 604 Input / output interface 6041 Display device 6042 Input device 6043 Sound output device 605 Communication interface

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
PCT/JP2020/003695 2020-01-31 2020-01-31 車両監視システム、車両監視方法、及び車両監視装置 Ceased WO2021152824A1 (ja)

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US17/795,942 US12327473B2 (en) 2020-01-31 2020-01-31 Vehicle monitoring system, vehicle monitoring method, and vehicle monitoring apparatus
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