CN115394085A - System for automatically simulating and restoring highway events through high-precision map - Google Patents
System for automatically simulating and restoring highway events through high-precision map Download PDFInfo
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- CN115394085A CN115394085A CN202211315134.3A CN202211315134A CN115394085A CN 115394085 A CN115394085 A CN 115394085A CN 202211315134 A CN202211315134 A CN 202211315134A CN 115394085 A CN115394085 A CN 115394085A
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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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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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
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
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- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
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Abstract
The invention relates to the technical field of highway incident monitoring, in particular to a system for automatically simulating and restoring highway incidents through a high-precision map. The system comprises a camera monitoring unit, a violation vehicle identification unit and a high-precision map simulation unit. According to the invention, the violation behaviors of the vehicle in the driving process can be analyzed in time through the violation information reminding unit and the accident vehicle identification unit, so that the violation vehicles can be reminded to stop the violation behaviors in time, the accident occurrence probability is reduced, the violation vehicles analyzed before are compared with the accident vehicles after the accident occurs in the later period in time, the supervision personnel can be helped to obtain the accident occurrence reason in time, and the accident handling efficiency is improved.
Description
Technical Field
The invention relates to the technical field of highway incident monitoring, in particular to a system for automatically simulating and restoring highway incidents through a high-precision map.
Background
The highway as a modern traffic sign has the development speed of the highway which is gradually improved to adapt to the development of industrialization and urbanization, vehicles running on the highway are inexhaustible, the vehicle flow is gradually increased, the workload of a traffic control department is greatly increased, the traffic flow is increased, the violation of the vehicles running on the highway is caused, the frequency of accidents is improved, and the violation of the vehicles is the main reason of the accidents.
In order to deal with the violations, a traffic management department lays monitoring equipment on a highway in a comprehensive mode, and monitors and processes information of passing vehicles, the monitoring difficulty of the monitoring mode is high, a supervisor needs to observe a monitoring picture in real time to judge whether the monitoring vehicle has the violations, even if the vehicle is judged to have the violations, the information cannot be sent out in time to stop, after an accident occurs in the later period, the processing efficiency is greatly reduced, meanwhile, for the violations such as fatigue driving, the observation of time points is particularly important, and whether fatigue driving occurs to drivers of each vehicle is judged through personnel monitoring is unrealistic, so that a system for automatically simulating and restoring the highway events through a high-precision map is needed at present.
Disclosure of Invention
The invention aims to provide a system for automatically simulating and restoring highway events through a high-precision map so as to solve the problems in the background technology.
In order to achieve the purpose, the system for automatically simulating and restoring the highway incident through the high-precision map comprises a camera monitoring unit, wherein the camera monitoring unit is used for monitoring and processing vehicles running in a monitored area to generate vehicle monitoring information, the output end of the camera monitoring unit is connected with a violation vehicle identification unit, the violation vehicle identification unit identifies the violation vehicles according to the vehicle monitoring information provided by the camera monitoring unit and identifies the violation vehicles, the output end of the violation vehicle identification unit is connected with a violation information reminding unit, the output end of the violation vehicle identification unit is also connected with a license plate information identification module, the input end of the license plate information identification module is connected with the output end of the camera monitoring unit, the license plate information identification module is used for identifying and processing license plates corresponding to the violation vehicles, the input end of the violation information reminding unit is connected with the high-precision map simulation unit, the output end of the violation information reminding unit is connected with a violation information prestoring unit, the output end of the violation information prestoring unit is connected with an accident vehicle identification unit, the output end of the accident vehicle identification unit is connected with an original accident information prestoring unit, and the vehicle identification unit is connected with an original accident information prestoring unit.
As a further improvement of the technical scheme, the camera shooting monitoring unit comprises a driver behavior recording module, the driver behavior recording module is used for recording driver behavior information in a driving vehicle, the output end of the driver behavior recording module is connected with a monitoring area exchanging module, the monitoring area exchanging module adjusts a monitoring area according to the driver behavior in the driving vehicle, and the output end of the monitoring area exchanging module is connected with the input end of the license plate information recognition module.
As a further improvement of the technical solution, the camera monitoring unit further includes a monitoring timing module, and the monitoring timing module is used for monitoring the continuous driving time of the vehicle and monitoring the violation of the vehicle.
As a further improvement of the technical scheme, the violation information reminding unit comprises a driving position judging module, the driving position judging module is used for judging the driving direction of the violation vehicle, the output end of the driving position judging module is connected with a violation behavior recognition module, the violation behavior recognition module is used for extracting violation information of the violation vehicle, and the output end of the violation behavior recognition module is connected with a corresponding license plate display module.
As a further improvement of the technical solution, the high-precision map simulation unit includes a driving route simulation module, an output end of the driving route simulation module is connected to a route monitoring point determination module, an output end of the route monitoring point determination module is connected to a route service area position identification module, and the route service area position identification module is used for identifying the position of each service area in a route where an illegal vehicle runs.
As a further improvement of the technical scheme, the violation information prestoring unit comprises a violation vehicle information storage module, the violation vehicle information storage module is used for prestoring violation information of the violation vehicle, the output end of the violation vehicle information storage module is connected with a violation time point measuring and calculating module, and the violation time point measuring and calculating module is used for recording violation time of the violation vehicle and violation stopping time.
As a further improvement of the technical solution, the violation time point measurement and calculation module adopts a time point calculation algorithm, and an algorithm formula of the violation time point measurement and calculation algorithm is as follows:
wherein A is the set of each monitoring point,
to is that
For each monitoring point, n represents a total monitoring point within the vehicle travel route,
for a set of various vehicle violations,
to
For different types of vehicle violations, m represents the sum of all vehicle violation types,
in order to monitor the photographed behavior of the vehicle,
in order to monitor the length of time the vehicle is traveling,
for violation determination of time threshold, when monitoring the captured vehicle behavior
Belonging to various vehicle violation behavior sets
Then it is not necessary to judge the time length of monitoring the vehicle running
Whether or not a violation determination time threshold is exceeded
The time length of the vehicle for keeping the illegal behavior driving is the total illegal behavior time length, and the vehicle behavior is monitored and shot
Not belonging to various vehicle violation behavior sets
Then, thenNeed to judge and monitor the running time of the vehicle
Whether or not a violation determination time threshold is exceeded
When is coming into contact with
Indicating that the monitored vehicle is in a normal driving state without violation behavior
Indicating the running time of the monitored vehicle
The violation determination time threshold is exceeded
To exceed a violation determination time threshold
Starting from the violation time point, the duration is the final violation time.
As a further improvement of the technical scheme, the output end of the violation time point measuring and calculating module is connected with a violation stopping information removing module, and the violation stopping information removing module is used for recording the violation stopping time point of the violation vehicle.
As a further improvement of the technical scheme, the accident vehicle identification unit comprises an accident-related vehicle license plate identification module, the accident-related vehicle license plate identification module identifies the vehicle license plate of the accident, and the output end of the accident-related vehicle license plate identification module is connected with the violation information comparison module.
As a further improvement of the technical scheme, an accident cause pre-analysis module is connected to an output end of the violation information comparison module, and is used for performing pre-analysis processing on accident causes.
Compared with the prior art, the invention has the beneficial effects that:
1. in this system to highway incident automatic simulation reduction through high accuracy map, can in time analyze out the violation of the vehicle at the driving in-process through information warning unit violating the regulations and accident vehicle identification unit not only to in time remind this vehicle violating the regulations to stop the violation of the regulations, reduce accident probability, in time after the accident appears in the later stage, the violation of the regulations vehicle that analysis was out before through compares with accident vehicle, help supervisory personnel reachs the occurence of failure reason, improve accident handling efficiency.
2. In this system to highway incident automatic simulation reduction through high accuracy map, the control timing module carries out timing to the vehicle, thereby whether reachs this control vehicle and appears the violation, simultaneously to the violation operation of fatigue driving then must carry out timing through the control timing module, whether reachs this control vehicle duration and surpasss the fatigue driving time, so monitor the vehicle duration and monitor and violation vehicle violation through the control timing module that sets up, carry out all-round control to the violation, reduce the leak in the monitor process, improve monitoring effect.
3. In the system for automatically simulating and restoring the highway events through the high-precision map, the driving position judgment module judges the driving direction of the illegal vehicle, obtains the direction in which the illegal vehicle is about to drive, obtains the position of a service area closest to the vehicle in the route of the direction according to the driving direction of the illegal vehicle, transmits the information of the illegal vehicle to the service area, calls the illegal information of the illegal vehicle through the illegal behavior recognition module when the illegal vehicle passes through the service area, displays the illegal information of the illegal vehicle at the display position of the service area, displays the license plate information of the illegal vehicle through the corresponding license plate display module, and timely reminds the illegal vehicle passing through the service area.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a flow chart of the camera monitoring unit of the present invention;
FIG. 3 is a flow chart of the violation information alerting unit of the present invention;
FIG. 4 is a flow chart of a high accuracy map simulation unit of the present invention;
FIG. 5 is a flow chart of a violation information prestoring unit of the present invention;
fig. 6 is a flow chart of an accident vehicle identification unit of the present invention.
The various reference numbers in the figures mean:
10. a camera monitoring unit; 110. a driver behavior recording module; 120. a monitoring area exchanging module; 130. a monitoring timing module;
20. a violation vehicle identification unit;
30. a violation information reminding unit; 310. a driving position judgment module; 320. an illegal behavior recognition module; 330. a corresponding license plate display module;
40. a license plate information recognition module;
50. a high-precision map simulation unit; 510. a driving route simulation module; 520. a route monitoring point determining module; 530. a route service area location identification module;
60. a violation information prestoring unit; 610. the illegal vehicle information storage module; 620. an illegal time point measuring and calculating module; 630. stopping the violation information removal module;
70. an accident vehicle identification unit; 710. a license plate identification module of a vehicle involved in an accident; 720. a violation information comparison module; 730. an accident cause pre-analysis module;
80. accident cause pre-simulation unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, a system for automatically simulating and restoring an expressway event through a high-precision map is provided, and includes a camera monitoring unit 10, the camera monitoring unit 10 is used for monitoring and processing vehicles running in a monitored area to generate vehicle monitoring information, an output end of the camera monitoring unit 10 is connected with a violation vehicle identification unit 20, the violation vehicle identification unit 20 identifies a violation vehicle according to the vehicle monitoring information provided by the camera monitoring unit 10 and identifies the two violation vehicles, an output end of the violation vehicle identification unit 20 is connected with a violation information reminding unit 30, an output end of the violation vehicle identification unit 20 is also connected with a license plate information identification module 40, an input end of the license plate information identification module 40 is connected with an output end of the camera monitoring unit 10, the license plate information identification module 40 is used for identifying and processing a license plate corresponding to the violation vehicle, an input end of the violation information reminding unit 30 is connected with a high-precision map simulation unit 50, an output end of the violation information reminding unit 30 is connected with a violation information prestoring unit 60, an output end of the violation information prestoring unit 60 is connected with an accident vehicle identification unit 70, an output end of the violation accident vehicle identification unit 70 is connected with an input end of the violation accident vehicle identification unit 80, the violation accident vehicle identification unit 70 is connected with an original accident simulation unit 80 for comparing the violation accident before the violation accident identification unit.
During specific use, the camera monitoring unit 10 monitors and processes vehicles running in a monitoring area, shoots a driving route of the vehicle, records the continuous running time of the vehicle and behaviors of a vehicle driver in the driving process, generates vehicle monitoring information, transmits the vehicle monitoring information to the violation vehicle identification unit 20, and the violation vehicle identification unit 20 identifies the violation vehicles according to the vehicle monitoring information, for example: after the continuous driving time of the vehicle exceeds 4 hours, a driver is in a fatigue driving state, the vehicle is a violation vehicle, the vehicle is identified and processed to generate violation vehicle identification information, the violation vehicle identification information is transmitted to the license plate information recognition module 40, the license plate information recognition module 40 recognizes the license plate of the violation vehicle according to the violation vehicle identification information to generate license plate recognition information, the license plate recognition information is transmitted to the violation information reminding unit 30, meanwhile, the high-precision map simulation unit 50 simulates a route map of an expressway to generate expressway route simulation information, the expressway route simulation information is transmitted to the violation information reminding unit 30, the violation information reminding unit 30 judges the route to be driven by the vehicle by combining the license plate recognition information and the expressway route simulation information, analyzing a service area nearest to the violation vehicle according to the highway route simulation information, warning the violation vehicle through a warning device (such as a liquid crystal display screen, when the continuous driving time of the vehicle exceeds 4 hours, a driver is in a fatigue driving state, the vehicle is a violation vehicle, when the violation vehicle passes through the service area, the violation information and a license plate number of the violation vehicle are displayed on the service area, the violation vehicle is reminded to correct violation operation in time), generating warning information, transmitting the warning information to a violation information prestoring unit 60, storing the warning information and corresponding violation vehicle information through the violation information prestoring unit 60, identifying the accident vehicle information by an accident vehicle identifying unit 70, and transmitting the accident vehicle information to the violation information prestoring unit 60, when the accident vehicle is consistent with the previous violation vehicle, whether the violation of the violation vehicle is the main cause of the accident directly is analyzed, for example, the driver who is tired stops the violation after not warning in the service area, which indicates that the violation vehicle is still in fatigue driving in the later driving process, and after the accident occurs, the violation of the violation vehicle is analyzed in time through the violation information reminding unit 30 and the accident vehicle identification unit 70, so that the final cause of the accident of the vehicle is simulated through the accident cause pre-simulation unit 80 and the reference factor information, and the violation of the violation vehicle in the driving process can be timely analyzed through the violation information reminding unit 30 and the accident vehicle identification unit 70, so that the violation of the violation vehicle is timely reminded to stop the violation of the vehicle, the accident occurrence probability is reduced, and after the accident occurs in the later stage, the violation of the vehicle analyzed before is timely compared with the accident vehicle, so that the accident occurrence reason can be obtained by the supervisor, and the accident handling efficiency is improved.
In addition, the camera monitoring unit 10 includes a driver behavior recording module 110, the driver behavior recording module 110 is used for recording driver behavior information in the driving vehicle, an output end of the driver behavior recording module 110 is connected with a monitoring region exchanging module 120, the monitoring region exchanging module 120 adjusts a monitoring region according to the driver behavior in the driving vehicle, and an output end of the monitoring region exchanging module 120 is connected with an input end of the license plate information recognition module 40. When the monitoring system is used specifically, the driver behavior recording module 110 records driver behavior information in a driving vehicle, whether the driver has illegal behaviors is judged, when the driver has illegal behaviors, illegal information is generated and transmitted to the monitoring area exchanging module 120, the monitoring area exchanging module 120 carries out position exchanging on a monitoring area after receiving the illegal information, for example, when the vehicle passes through the monitoring area, the vehicle head is monitored firstly, whether the driver has illegal behaviors is judged, when the driver has illegal behaviors, the monitoring area is changed from the original monitoring right at the vehicle head to the monitoring right at the vehicle tail, so that the full appearance of the illegal vehicle is monitored and processed, the monitoring information is transmitted to the license plate information recognition module 40, the license plate of the illegal vehicle is recognized and processed through the license plate information recognition module 40, monitoring resources can be reasonably utilized, only the illegal vehicle is monitored secondarily, each vehicle does not need to be monitored repeatedly, and monitoring efficiency is improved.
Further, the camera monitoring unit 10 further includes a monitoring and timing module 130, and the monitoring and timing module 130 is configured to monitor a driving duration of the vehicle and monitor an illegal behavior of the illegal vehicle. In the actual monitoring process, whether a vehicle violates rules or not is judged, not only by observing the behaviors of a driver and the instant vehicle violating operations, but also by other operations which need to be measured and calculated, for example, when the vehicle is driven in an overspeed manner, the average driving speed is generally adopted, the vehicle is required to be judged by combining the driving distance of the vehicle in unit time, at the moment, the monitoring timing module 130 is required to time the vehicle, so that whether the vehicle violates or not is obtained, and meanwhile, for the violating operations of fatigue driving, the monitoring timing module 130 is required to time, so that whether the continuous driving time of the monitored vehicle exceeds the fatigue driving time or not is obtained, so that the continuous driving time of the vehicle is monitored and the behaviors of the vehicle are monitored by the monitoring timing module 130, the violations are monitored in an all-directional manner, the vulnerabilities in the monitoring process are reduced, and the monitoring effect is improved.
Still further, the violation information reminding unit 30 includes a driving position determining module 310, the driving position determining module 310 is configured to determine a driving direction of the violation vehicle, an output end of the driving position determining module 310 is connected to a violation identification module 320, the violation identification module 320 is configured to extract violation information of the violation vehicle, and an output end of the violation identification module 320 is connected to a corresponding license plate display module 330. When the vehicle is used specifically, the driving position judgment module 310 judges the driving direction of the illegal vehicle to obtain the direction in which the illegal vehicle is about to drive, and according to the driving direction of the illegal vehicle, the position of a service area closest to the vehicle in the route of the direction is obtained, and the information of the illegal vehicle is transmitted to the service area, when the illegal vehicle passes through the service area, the illegal information of the vehicle is called through the illegal behavior recognition module 320, the illegal information of the vehicle is displayed at the display position of the service area, the license plate information of the illegal vehicle is displayed through the corresponding license plate display module 330, and the illegal vehicle passing through the service area is timely reminded.
Specifically, the high-precision map simulation unit 50 includes a driving route simulation module 510, an output end of the driving route simulation module 510 is connected to a route monitoring point determination module 520, an output end of the route monitoring point determination module 520 is connected to a route service area position identification module 530, and the route service area position identification module 530 is configured to identify positions of service areas in a route where an illegal vehicle runs. When the vehicle monitoring system is used specifically, the driving route simulation module 510 simulates a driving route of a driving vehicle to obtain driving route information of the driving vehicle, the route monitoring point determination module 520 determines monitoring points on the driving route of the driving vehicle, the route service area position identification module 530 determines service area positions on the driving route of the driving vehicle to obtain monitoring points closest to a service area, when the vehicle passes through the monitoring points, the vehicle is judged to be illegal, and at the moment, illegal vehicle information is provided for the service area closest to the monitoring points.
In addition, the violation information prestoring unit 60 includes a violation vehicle information storage module 610, the violation vehicle information storage module 610 is configured to prestore violation information of the violation vehicle, an output end of the violation vehicle information storage module 610 is connected with a violation time point measuring module 620, and the violation time point measuring module 620 is configured to record violation time of the violation vehicle and violation stopping time. During specific use, the violation vehicle information storage module 610 prestores violation information of the violation vehicle, generates vehicle violation prestored information, transmits the vehicle violation prestored information to the violation time point measurement module 620, and the violation time point measurement module 620 measures and calculates violation time and violation stopping time of the violation vehicle according to the vehicle violation prestored information, and records and processes the violation time and the violation stopping time of the violation vehicle, so as to perform violation simulation reduction at a later stage and help a supervisor determine violation degree of the violation vehicle at the later stage.
Further, the violation time point measurement module 620 employs a time point calculation algorithm, and the algorithm formula is as follows:
wherein A is the set of each monitoring point,
to is that
For each monitoring point, n represents the total monitoring point within the vehicle's travel route,
for a set of various vehicle violations,
to is that
For different types of vehicle violations, m represents the sum of all vehicle violation types,
in order to monitor the photographed behavior of the vehicle,
in order to monitor the length of time the vehicle is traveling,
for violation determination of time threshold, when monitoring the captured vehicle behavior
Belonging to various vehicle violation behavior sets
Then it is not necessary to judge the running time of the monitored vehicle
Whether or not a violation determination time threshold is exceeded
The time length of the vehicle for keeping the illegal action is the total illegal action time length, and the vehicle action shot by monitoring is
Not belonging to various vehicle violation behavior sets
Then the running time of the monitored vehicle needs to be judged
Whether or not a violation determination time threshold is exceeded
When is coming into contact with
Indicating that the monitored vehicle is in a normal driving state without violation behavior
Indicating the running time of the monitored vehicle
The violation determination time threshold is exceeded
To exceed a violation determination time threshold
Starting from the violation time point, the duration is the final violation time.
Still further, the output end of the violation time point measuring module 620 is connected to a violation information stopping and removing module 630, and the violation information stopping and removing module 630 is configured to record a violation time point at which the violation vehicle stops violating the violation. When the violation information removal module is used specifically, after the vehicle stops violation, the vehicle violation time and the violation behaviors are recorded, and the remaining violation information is removed through the violation information removal stopping module 630, so that the information stored in the violation information prestoring unit 60 is deleted regularly, and the condition that the storage amount is too large and the later-stage prestoring function is influenced is avoided.
In addition, the accident vehicle recognition unit 70 includes a license plate recognition module 710 of a vehicle involved in an accident, the license plate recognition module 710 of the vehicle involved in the accident recognizes the license plate of the vehicle involved in the accident, the output end of the license plate recognition module 710 of the vehicle involved in the accident is connected with a violation information comparison module 720, the violation information comparison module 720 compares the license plate of the vehicle involved in the accident with the violation vehicle information prestored, when the vehicle involved in the accident is used specifically, the license plate recognition module 710 of the vehicle involved in the accident recognizes the license plate of the vehicle involved in the accident, generates the license plate recognition information involved in the accident, and transmits the license plate recognition information involved in the accident to the violation information comparison module 720, the violation information comparison module 720 calls the violation vehicle license information prestored in the violation information prestoring unit 60, determines whether the vehicle involved in the violation behavior before the accident exists, and determines whether the violation behavior of the vehicle in the previous violation behavior of the vehicle and the accident in the previous violation behavior of the vehicle in the vehicle before the accident exist, for example, the fatigue driving the vehicle can directly affect the normal driving of the vehicle, which is a main factor causing the accident, and can be used as an important factor for simulating the later stage of the accident, and the accident.
Besides, the output end of the violation information comparison module 720 is connected with an accident reason pre-analysis module 730, the accident reason pre-analysis module 730 is used for pre-analyzing and processing accident reasons, the previous behavior of the accident-related vehicle and the driving state of the accident-related vehicle before and after the accident are obtained according to the violation information comparison module 720, the preliminary reason of the accident occurrence of the accident-related vehicle is simulated, the possible reason of the accident generation is analyzed by the supervision personnel in time, and the accident processing efficiency is improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The system for automatically simulating and restoring the highway events through the high-precision map comprises a camera monitoring unit (10), wherein the camera monitoring unit (10) is used for monitoring vehicles running in a monitored area and generating vehicle monitoring information, and is characterized in that: the system comprises a camera shooting monitoring unit (10), a violation vehicle identification unit (20) is connected to the output end of the camera shooting monitoring unit (10), the violation vehicle identification unit (20) identifies a violation vehicle according to vehicle monitoring information provided by the camera shooting monitoring unit (10) and identifies the violation vehicle, a violation information reminding unit (30) is connected to the output end of the violation vehicle identification unit (20), a license plate information identification module (40) is further connected to the output end of the violation vehicle identification unit (20), the input end of the license plate information identification module (40) is connected with the output end of the camera shooting monitoring unit (10), the license plate information identification module (40) is used for identifying and processing a license plate corresponding to the violation vehicle, a high-precision map simulation unit (50) is connected to the input end of the violation information reminding unit (30), a violation information prestoring unit (60) is connected to the output end of the violation information reminding unit (30), an accident vehicle identification unit (70) is connected to the output end of the violation information prestoring unit (60), the accident vehicle identification unit (70) is used for identifying the violation accident information and comparing the violation accident information with the original accident information prestoring unit (80).
2. The system for automatically simulating the restoration of a highway event according to the high-precision map of claim 1, wherein: the camera shooting monitoring unit (10) comprises a driver behavior recording module (110), the driver behavior recording module (110) is used for recording driver behavior information in a driving vehicle, the output end of the driver behavior recording module (110) is connected with a monitoring area changing module (120), the monitoring area changing module (120) adjusts a monitoring area according to the driver behavior in the driving vehicle, and the output end of the monitoring area changing module (120) is connected with the input end of the license plate information recognition module (40).
3. The system for automatically simulating restoration of a highway event according to the high-precision map of claim 2, wherein: the camera monitoring unit (10) further comprises a monitoring timing module (130), and the monitoring timing module (130) is used for monitoring the continuous driving time of the vehicle and monitoring the violation of the vehicle.
4. The system for automatically simulating the restoration of a highway event according to the high-precision map of claim 1, wherein: the violation information reminding unit (30) comprises a driving position judging module (310), the driving position judging module (310) is used for judging the driving direction of the violation vehicle, the output end of the driving position judging module (310) is connected with a violation behavior recognition module (320), the violation behavior recognition module (320) is used for extracting violation information of the violation vehicle, and the output end of the violation behavior recognition module (320) is connected with a corresponding license plate display module (330).
5. The system for automatically simulating the restoration of a highway event according to the high-precision map of claim 1, wherein: the high-precision map simulation unit (50) comprises a driving route simulation module (510), the output end of the driving route simulation module (510) is connected with a route monitoring point determination module (520), the output end of the route monitoring point determination module (520) is connected with a route service zone position identification module (530), and the route service zone position identification module (530) is used for identifying the position of each service zone in a route where an illegal vehicle runs.
6. The system for automatically simulating the restoration of a highway event according to the high-precision map of claim 1, wherein: the violation information prestoring unit (60) comprises a violation vehicle information storage module (610), the violation vehicle information storage module (610) is used for prestoring violation information of violation vehicles, the output end of the violation vehicle information storage module (610) is connected with a violation time point measuring and calculating module (620), and the violation time point measuring and calculating module (620) is used for recording violation time of the violation vehicles and stopping the violation time.
7. The system for automatically simulating restoration of a highway event according to the high-precision map of claim 6, wherein: the violation time point measuring and calculating module (620) adopts a time point calculating algorithm, and the algorithm formula is as follows:
wherein A is the set of each monitoring point,
to
For each monitoring point, n represents a total monitoring point within the vehicle travel route,
for a set of various vehicle violations,
to
For different types of vehicle violations, m represents the sum of all vehicle violation types,
in order to monitor the photographed behavior of the vehicle,
in order to monitor the length of time the vehicle is travelling,
for violation determination of time threshold, when monitoring the captured vehicle behavior
Belonging to various vehicle violation behavior sets
Then it is not necessary to judge the running time of the monitored vehicle
Whether or not a violation determination time threshold is exceeded
The time length of the vehicle for keeping the illegal action is the total illegal action time length, and the vehicle action shot by monitoring is
Not belonging to various vehicle violation behavior sets
Then the running time of the monitored vehicle needs to be judged
Whether or not a violation determination time threshold is exceeded
When it comes to
Indicating that the monitored vehicle is in a normal driving state without violation behavior
Indicating the running time of the monitored vehicle
The violation determination time threshold is exceeded
To exceed a violation determination time threshold
Starting as the violation time point, the duration is the final violation time.
8. The system for automatically simulating restoration of a highway event according to the high-precision map of claim 6, wherein: the output end of the violation time point measuring module (620) is connected with a violation stopping information removing module (630), and the violation stopping information removing module (630) is used for recording the time point of violation stopping of the violation vehicle.
9. The system for automatically simulating and restoring highway events according to the high-precision map as recited in claim 1, wherein: the accident vehicle identification unit (70) comprises a vehicle license plate identification module (710) involved in an accident, the vehicle license plate identification module (710) involved in the accident is used for identifying the vehicle license plate of the accident, the output end of the vehicle license plate identification module (710) involved in the accident is connected with a violation information comparison module (720), and the violation information comparison module (720) is used for comparing the vehicle license plate of the accident with the violation vehicle information prestored.
10. The system for automatically simulating restoration of a highway event according to the high-precision map of claim 9, wherein: the output end of the violation information comparison module (720) is connected with an accident reason pre-analysis module (730), and the accident reason pre-analysis module (730) is used for performing pre-analysis processing on accident reasons.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040167861A1 (en) * | 2003-02-21 | 2004-08-26 | Hedley Jay E. | Electronic toll management |
| US20060278705A1 (en) * | 2003-02-21 | 2006-12-14 | Accenture Global Services Gmbh | Electronic Toll Management and Vehicle Identification |
| CN104318769A (en) * | 2014-10-29 | 2015-01-28 | 合肥指南针电子科技有限责任公司 | Violation vehicle monitoring and alarming system and method |
| CN104751628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团公司 | Method and system for monitoring vehicle |
| CN105825184A (en) * | 2016-03-15 | 2016-08-03 | 深圳市佳信捷技术股份有限公司 | Vehicle data processing method and device |
| CN109919140A (en) * | 2019-04-02 | 2019-06-21 | 浙江科技学院 | Vehicle collision accident responsibility automatic judging method, system, equipment and storage medium |
| CN110930716A (en) * | 2019-11-12 | 2020-03-27 | 浙江宇视科技有限公司 | License plate recognition method and device based on cooperation of multiple cameras |
| CN111915896A (en) * | 2020-08-17 | 2020-11-10 | 重庆电子工程职业学院 | Intelligent traffic system and method based on Internet of things |
| CN112233421A (en) * | 2020-10-15 | 2021-01-15 | 胡歆柯 | Intelligent city intelligent traffic monitoring system based on machine vision |
| CN112733856A (en) * | 2020-12-31 | 2021-04-30 | 成都福立盟环保大数据有限公司 | Method for identifying enlarged license plate of large vehicle |
| CN114461743A (en) * | 2022-04-13 | 2022-05-10 | 华南理工大学 | System for automatically simulating and restoring highway events through high-precision map |
-
2022
- 2022-10-26 CN CN202211315134.3A patent/CN115394085B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040167861A1 (en) * | 2003-02-21 | 2004-08-26 | Hedley Jay E. | Electronic toll management |
| US20060278705A1 (en) * | 2003-02-21 | 2006-12-14 | Accenture Global Services Gmbh | Electronic Toll Management and Vehicle Identification |
| CN104751628A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团公司 | Method and system for monitoring vehicle |
| CN104318769A (en) * | 2014-10-29 | 2015-01-28 | 合肥指南针电子科技有限责任公司 | Violation vehicle monitoring and alarming system and method |
| CN105825184A (en) * | 2016-03-15 | 2016-08-03 | 深圳市佳信捷技术股份有限公司 | Vehicle data processing method and device |
| CN109919140A (en) * | 2019-04-02 | 2019-06-21 | 浙江科技学院 | Vehicle collision accident responsibility automatic judging method, system, equipment and storage medium |
| CN110930716A (en) * | 2019-11-12 | 2020-03-27 | 浙江宇视科技有限公司 | License plate recognition method and device based on cooperation of multiple cameras |
| CN111915896A (en) * | 2020-08-17 | 2020-11-10 | 重庆电子工程职业学院 | Intelligent traffic system and method based on Internet of things |
| CN112233421A (en) * | 2020-10-15 | 2021-01-15 | 胡歆柯 | Intelligent city intelligent traffic monitoring system based on machine vision |
| CN112733856A (en) * | 2020-12-31 | 2021-04-30 | 成都福立盟环保大数据有限公司 | Method for identifying enlarged license plate of large vehicle |
| CN114461743A (en) * | 2022-04-13 | 2022-05-10 | 华南理工大学 | System for automatically simulating and restoring highway events through high-precision map |
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