A bus traffic monitoring judgment management method and device

Abstract

The present invention provides a method and device for a bus traffic monitoring and judgment management system, comprising a bus equipped with an internal controller and a binocular camera, wherein the method comprises: setting an activation response of a road-blocking subsystem through the internal controller; wherein the activation response comprises a specific time activation response and a specific location activation response; when the activation response is received, obtaining the road data and road-blocking vehicle data of the bus through the binocular camera; according to the road data, performing dedicated lane identification on the bus to determine whether there is a bus violation; according to the road-blocking vehicle data, performing vehicle restriction violation identification to determine whether there is a violation of the front and rear vehicles.

Description

Technical Field

[0001] The present invention relates to the technical field of road violation determination, and in particular to a bus traffic monitoring determination management method and device. Background Art

[0002] At present, with the improvement of people's living standards, most people have their own means of transportation. Although the urban traffic roads in many cities are well developed, there are still some places without road test monitoring. Without road test monitoring, some illegal traffic violations may occur. Buses are one of the important symbols of a city, and their traffic routes are extensive. They may encounter various problems during their driving. Targeted technological solutions have been implemented for the illegal occupation of bus lanes and the illegal acts of following buses to avoid license plate restriction monitoring.

[0003] In patent 201811452012.2, a bus lane occupation detection method and device is proposed. When the size of the moving target area is within the preset vehicle area size range and the area of ​​the overlapping area is greater than the preset threshold, the target detection area is determined based on the overlapping area, and then vehicle detection is performed in the target detection area, thereby excluding moving targets that are obviously not vehicles, reducing unnecessary detection processes, and improving detection accuracy and efficiency. Only after the vehicle area is detected, license plate recognition is performed on the vehicle area, further avoiding the detection of non-vehicles, improving detection accuracy, and reducing the image processing area of ​​license plate recognition, thereby improving recognition efficiency.

[0004] In patent 201910352711.8, a Beidou vision fusion accurate lane identification and positioning method and its implementation device, it is proposed to fuse the camera visual information with Beidou positioning information to increase the lateral positioning accuracy from 1.5 meters to 0.1 meters, providing more accurate positioning for assisted driving and navigation systems. It can simultaneously provide early warning and illegal capture of bus lanes, emergency lanes, and tidal lanes, solve the problem of road occupation from both prevention and punishment, and ensure the smooth flow of bus lanes, emergency lanes, and tidal lanes.

[0005] However, the above technical solution has the following defects:

[0006] (1) Patent 201811452012.2 only proposes to detect the lane in front of the bus. At the same time, the lane detection system needs to be turned on all the time. For the current new energy vehicles, the power consumption is increased. Secondly, it is a multi-threaded synchronous processing image recognition mechanism, and lane detection is only one of them. Therefore, it needs to occupy more computing resources and power during operation. During the work of the bus on the same day, the charging time needs to be reduced as much as possible. A 10-12 meter long pure electric bus consumes about 1 kWh of electricity for 1 kilometer. If it operates 200 kilometers a day, it will consume about 200 kWh of electricity. If the air conditioner is turned on, the power consumption will be higher, and it may consume 70 kWh more electricity every day. Therefore, under normal circumstances, the standard range of the bus is 150 kilometers. In the actual operation of the city bus, the air conditioner and the violation detection system are turned on, and the range is only about 98 kilometers. If only the air conditioner is turned on and the violation detection system is not turned on, the range is about 109 kilometers. Therefore, with respect to the above-mentioned patent, it is necessary to improve the detection range and opening and closing control of the violation detection system to increase endurance and increase the detection range.

[0007] (2) Patent 201910352711.8 combines visual information with a satellite positioning system to achieve high-precision positioning and navigation, and improves the accuracy of lane occupation detection. However, lane occupation is time-limited, and it will only be judged as lane occupation if it exceeds 60 seconds or other legal time. In addition, when identifying violations, it only improves the accuracy of violation identification. For vehicles identified as violations, the license plate may not be clearly identified.

[0008] (3) Many cities have license plate number restrictions, and the above two patents cannot implement license plate number restrictions. Summary of the invention

[0009] The present invention provides a bus traffic monitoring judgment management method and device, which can reduce the number of private vehicles illegally occupying bus-only lanes, avoid illegal behaviors such as following buses to cover license plates to prevent restricted-number monitoring and shooting, and greatly reduce traffic accidents in transportation, ensure passenger safety and maintain urban traffic laws.

[0010] In a first aspect, the present invention provides a bus traffic monitoring judgment management method, comprising a bus equipped with an internal controller and a binocular camera, the method comprising:

[0011] Setting the activation response of the illegal lane-occupancy subsystem through the internal controller;

[0012] When an activation response is received, the road data and road vehicle data of the bus are acquired through the binocular camera;

[0013] Based on the road data, the dedicated lanes for buses are identified to determine whether there are any violations of bus traffic rules;

[0014] Based on the data of vehicles occupying the road, vehicle violations are identified to determine whether there are violations by the vehicles in front or behind.

[0015] In combination with the first aspect, the activation response includes a specific time activation response and a specific location activation response; wherein,

[0016] When the time-specific activation response is triggered, the location-specific activation response initiates the trigger detection.

[0017] The specific time activation response is used to indicate that the current moment is the execution time of the bus violation detection set in the illegal lane occupying subsystem;

[0018] The location-specific activation response is used to characterize that the bus is currently in the bus lane.

[0019] In combination with the first aspect, the internal controller is connected to a visual sensing device installed on the bus; wherein,

[0020] The visual detection range of the visual sensing device is a preset circular range with the bus as the origin. The visual sensing device is a binocular visual detection device, which includes a first visual device for acquiring road data and a second visual device for focusing the vehicle.

[0021] In combination with the first aspect, the road data collection process is as follows:

[0022] Use visual sensing equipment to scan the bus lane and obtain lane images;

[0023] Through the preset road recognition mechanism, it is determined whether there is a bus lane sign in the current lane of the bus;

[0024] When there is a bus lane sign, the specific location activation response starts to start the awakened trigger state;

[0025] When there is no bus lane sign, upload the current location.

[0026] In combination with the first aspect, the violation identification includes illegal road occupation monitoring identification and illegal license plate restriction monitoring identification; wherein,

[0027] The illegal road occupation monitoring and identification system is equipped with an intrusion alarm mechanism, and the alarm is issued through the alarm device inside the bus;

[0028] Illegal license plate restriction monitoring and identification is equipped with a cloud storage platform to store driving images of license plate restricted vehicles

[0029] In combination with the first aspect, the monitoring and identification of illegal road occupation includes:

[0030] According to the road data, a joint threshold detection mechanism based on time axis distance recording is built;

[0031] The joint threshold detection mechanism is used to detect the time that social vehicles stay on the bus lane and the distance between them and the current bus;

[0032] According to the joint threshold detection mechanism, the approach distance of private vehicles in the bus lane is determined, and private vehicles within the intrusion distance range are recorded as suspected violations;

[0033] The suspected social vehicles that violated the traffic rules will be judged as having stayed beyond the limit, and when the suspected social vehicles that violated the traffic rules exceed the preset stay time, the violation information of the target social vehicles will be uploaded.

[0034] In combination with the first aspect, before the joint threshold detection mechanism is executed, the following steps may also be included:

[0035] According to the visual sensing equipment, the texture feature scanning and row and column scanning of the social vehicles in front and behind the current bus are performed;

[0036] According to the texture feature scanning, the body attribute characteristics of the social vehicle are determined;

[0037] According to the row and column scanning, the license plate data of social vehicles is determined;

[0038] Segment the license plate data into characters and extract character features after character segmentation;

[0039] Compare the character features with the characters in the standard character database to determine the standard character;

[0040] The standard characters and vehicle body attribute features are input into the internal controller in text form for online verification to exclude the corresponding vehicle from being a bus.

[0041] In combination with the first aspect, the illegal license plate restriction monitoring and identification includes:

[0042] According to the road vehicle data, all vehicles around the current bus are recognized by license plate recognition to obtain license plate data;

[0043] Compare the license plate data with the license plate restriction features in the real-time license plate restriction database to determine whether there is license plate data that meets the license plate restriction rules;

[0044] When the license plate restriction rules are met, an alarm will be issued based on the corresponding license plate data.

[0045] In combination with the first aspect, the vehicle violation determination further includes:

[0046] According to the road data and road vehicle data, a scene dynamic following coordinate system is built, and the real-time midpoint of the bus is used as the dynamic origin of the scene dynamic following coordinate system;

[0047] According to the scene dynamic following coordinate system, a dynamic license plate recording matrix is ​​built; among them,

[0048] The dynamic license plate recording matrix only records the license plates within the preset warning range of the bus;

[0049] According to the dynamic license plate record matrix, the warning trigger mechanism within the preset warning range is determined; among them,

[0050] The early warning trigger mechanism includes a time trigger mechanism and a warning over-distance trigger mechanism;

[0051] According to the time trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range for longer than the preset time, a violation alarm is generated;

[0052] According to the warning over-distance trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range and the distance exceeds the warning distance, an emergency alarm is generated.

[0053] In a second aspect, a bus traffic monitoring judgment management device is provided, the device comprising:

[0054] Traffic violation activation module: used to set the activation response of the traffic violation subsystem through the internal controller;

[0055] Data acquisition module: used to obtain the road data and road vehicle data of the bus through the binocular camera when receiving the activation response;

[0056] Public transport violation judgment module: used to identify the dedicated lanes for buses based on road data and determine whether there are public transport violations;

[0057] Front and rear vehicle violation judgment module: used to identify vehicle violations based on the lane-occupying vehicle data and determine whether there are any front and rear vehicles violating the law.

[0058] Beneficial effects of the present invention:

[0059] The bus traffic monitoring and judgment management system of the present invention monitors and judges illegal vehicles at specific times and under specific circumstances, reduces the power consumption of new energy buses, and increases endurance and battery life. At the same time, the violation detection through this application is conducive to the implementation of urban traffic rules, supervises people to drive vehicles correctly and formally, reduces traffic jams, avoids the occurrence of traffic safety problems, and plays a great role in transportation.

[0060] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0061] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0063] Figure 1 A method flow chart of a bus traffic monitoring judgment management method in an embodiment of the present invention;

[0064] Figure 2 A diagram showing the composition of a bus traffic monitoring and judgment management device according to an embodiment of the present invention;

[0065] Figure 3 A system composition diagram of a bus traffic monitoring and judgment management system according to an embodiment of the present invention;

[0066] Figure 4 This is a schematic diagram of a bus in an embodiment of the present invention;

[0067] Figure 5 It is an IF program flow judgment diagram in an embodiment of the present invention;

[0068] Figure 6 This is a strategy diagram for the bus monitoring and management system. DETAILED DESCRIPTION

[0069] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0070] Embodiment 1:

[0071] like Figure 1 , Figure 3 , Figure 4 and Figure 5 , Figure 6 The present invention proposes a bus traffic monitoring judgment management method, including a bus equipped with an internal controller and a binocular camera, the method comprising:

[0072] Setting the activation response of the illegal lane-occupancy subsystem through the internal controller;

[0073] When an activation response is received, the road data and road vehicle data of the bus are acquired through the binocular camera;

[0074] Based on the road data, the dedicated lanes for buses are identified to determine whether there are any violations of bus traffic rules;

[0075] Based on the data of vehicles occupying the road, vehicle violations are identified to determine whether there are violations by the vehicles in front or behind.

[0076] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0077] First of all, the design purpose of this application is to more quickly identify social vehicles that illegally occupy bus lanes, in order to avoid following the bus to cover the license plate to prevent the number limit monitoring camera illegal behavior. At the same time, the time and place of violation identification are restricted, thereby reducing the energy consumption of the vehicle and improving the endurance of new energy vehicles.

[0078] This product uses cameras installed on buses to monitor the road in real time and transmit data to traffic supervision departments in real time to deduct points and impose fines on vehicles that violate laws and disciplines. In addition to real-time monitoring of social vehicles, this product can also conduct standardized processing of the buses themselves. The main purpose is to monitor and manage the above two situations of illegal and disorderly events, reduce the occurrence of such events, and reasonably restrict the behavior of the buses themselves, ensuring the life safety of bus drivers and passengers, and providing better convenience for urban transportation.

[0079] In the specific implementation process, it is necessary to install visual sensing equipment on the bus, for example: a binocular camera is installed on the front and rear of the bus, and the position is installed on the top of the front and rear of the bus. When the bus starts, the front and rear cameras are turned on to conduct real-time network monitoring and judgment. The timed start system in the internal controller is set to a specific time period of 7:00-9:00 and 17:00-19:00, and the illegal road occupation subsystem in the violation judgment monitoring system in the internal controller is activated by the timer. When the GPS locates a specific location such as a bridge or tunnel, the GPS positioning system in the internal controller transmits a signal to activate the illegal number restriction subsystem in the violation judgment monitoring system. When the illegal road occupation subsystem is activated at a specific time, the binocular camera in front of the bus first judges the road to determine whether the bus is traveling on the bus lane. If it is, the front and rear cameras start to monitor the road, judge the violation and identify the license plate, and record the violation time of the illegal vehicle. Through GPS positioning, the location information, time information, illegal license plate, and illegal vehicle color are stored in the internal controller. When the illegal number restriction subsystem is activated at a specific location, the binocular cameras in front and behind the bus begin to recognize the license plates of the vehicles in front and behind. By comparing the numbers in the specific positions of the license plates with the number restriction numbers updated in real time, it is determined whether there is illegal number restriction driving, and a series of violation information is stored in the internal controller. When a specific location and a specific time occur at the same time, the illegal road occupation system and illegal number restriction system of the bus will be activated at the same time.

[0080] Beneficial effects of the present invention:

[0081] The bus traffic monitoring and judgment management system of the present invention monitors and judges illegal vehicles at specific times and under specific circumstances, reduces the power consumption of new energy buses, and increases endurance and battery life. At the same time, the violation detection through this application is conducive to the implementation of urban traffic rules, supervises people to drive vehicles correctly and formally, reduces traffic jams, avoids the occurrence of traffic safety problems, and plays a great role in transportation.

[0082] As an embodiment of the present invention: the activation response includes a specific time activation response and a specific location activation response; wherein,

[0083] When the time-specific activation response is triggered, the location-specific activation response initiates the trigger detection.

[0084] The specific time activation response is used to indicate that the current moment is the execution time of the bus violation detection set in the illegal lane occupying subsystem;

[0085] The location-specific activation response is used to characterize that the bus is currently in the bus lane.

[0086] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0087] When the specific time activation response is executed, the timed start system in the internal controller is set to a specific time period of 7:00-9:00 and 17:00-19:00, and the illegal road occupation subsystem in the violation judgment monitoring system in the internal controller is activated through the timer.

[0088] When the specific location activation response is executed, when the GPS locates a specific location such as a bridge or tunnel, a signal is transmitted through the GPS positioning system in the internal controller to activate the illegal license plate restriction subsystem in the violation judgment monitoring system.

[0089] The beneficial effects of the above technical solution are:

[0090] Through activation responses at specific times and locations, the road violation system can be put in standby or turned off when not activated, and turned on when needed, thus saving energy consumption of new energy buses to the greatest extent, thereby extending battery life and endurance.

[0091] As an embodiment of the present invention: the internal controller is connected to a visual sensor device installed on a bus; wherein,

[0092] The visual detection range of the visual sensing device is a preset circular range with the bus as the origin. The visual sensing device is a binocular visual detection device, which includes a first visual device for acquiring road data and a second visual device for focusing the vehicle.

[0093] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0094] By setting up visual sensing equipment, such as binocular vision cameras, infrared scanning cameras, panoramic cameras and laser radar, a panoramic detection is performed around the bus. During the violation detection process, the first visual device is used to obtain a panoramic image around the bus, and then collect road data, including the size and lanes of the road; the second visual device is used to focus on and capture the illegal vehicle during violation detection, and has a tracking function.

[0095] As an embodiment of the present invention: the road data collection process is as follows:

[0096] Use visual sensing equipment to scan the bus lane and obtain lane images;

[0097] Through the preset road recognition mechanism, it is determined whether there is a bus lane sign in the current lane of the bus;

[0098] When there is a bus lane sign, the specific location activation response starts to start the awakened trigger state;

[0099] When there is no bus lane sign, upload the current location.

[0100] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0101] The present invention uses visual sensing equipment, such as camera 1, to scan the lane ahead, obtain an image of the lane, and transmit the lane image to a road recognition system in an internal controller. The road recognition system starts to recognize the image, determines whether the bus is traveling on a dedicated bus lane, performs deep extraction of the road image, and uses an algorithm to determine whether the road line is yellow. When the road line is determined to be yellow, illegal road occupation monitoring and judgment begins. The road recognition mechanism includes multiple element recognition groups, and the bus lane logo is recognized by the element recognition group. The element recognition group includes:

[0102] The element supplement identification group is used to solve the problem of unclear, illegible or worn signs, and to determine whether it is a bus lane by supplementing the signs.

[0103] The element exclusion recognition group is used to solve complex traffic environments where bus lanes and ordinary lanes are intertwined, or during peak hours, too many non-bus vehicles occupy bus lanes and are difficult to identify.

[0104] The element calling group is used to call the navigation map and make online judgment on the bus lane when the bus lane design is unreasonable.

[0105] The beneficial effects of the above technical solution are:

[0106] This application can identify bus lanes based on different situations, thereby combining activation responses to start the violation determination system.

[0107] As an embodiment of the present invention, the violation identification includes illegal road occupation monitoring identification and illegal license plate restriction monitoring identification, wherein:

[0108] The illegal road occupation monitoring and identification system is equipped with an intrusion alarm mechanism, and the alarm is issued through the alarm device inside the bus;

[0109] The illegal license plate restriction monitoring and identification system is equipped with a cloud storage platform to store driving images of license plate restricted vehicles.

[0110] The present invention involves the identification of two types of traffic violation situations, namely, illegal road occupation monitoring identification and illegal number restriction monitoring identification; the intrusion alarm mechanism can remind the bus driver when danger may occur, and the cloud storage platform can store the driving images of number restricted vehicles.

[0111] As an embodiment of the present invention, the monitoring and identification of illegal road occupation includes:

[0112] According to the road data, a joint threshold detection mechanism based on time axis distance recording is built;

[0113] The joint threshold detection mechanism is used to detect the time that social vehicles stay on the bus lane and the distance between them and the current bus;

[0114] According to the joint threshold detection mechanism, the approach distance of private vehicles in the bus lane is determined, and private vehicles within the intrusion distance range are recorded as suspected violations;

[0115] The suspected social vehicles that violated the traffic rules will be judged as having stayed beyond the limit, and when the suspected social vehicles that violated the traffic rules exceed the preset stay time, the violation information of the target social vehicles will be uploaded.

[0116] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0117] Through the real-time collected road data, the joint threshold detection mechanism set in the camera is activated, including a time threshold and a distance threshold. When a bus detects a private vehicle in front or behind while driving in the bus lane, the distance threshold X is 80 meters. For private vehicles outside the distance threshold X, only photos are taken. When a private vehicle is detected within the distance threshold X, it is judged according to the time threshold. At this time, if the private vehicle photographed appears in the bus lane for more than the time threshold a, it is judged that the vehicle illegally occupies the bus lane. If the time that the private vehicle travels on the bus lane does not exceed the time threshold a, but is greater than the time threshold b, it is judged as suspected violation. If the time that the private vehicle travels on the bus lane is less than the time threshold b, it is taken and uploaded for judgment. The time threshold a is 1 minute, and the time threshold b is 10 seconds.

[0118] The beneficial effects of the above technical solution are:

[0119] This application can detect illegal vehicles through a dual detection mechanism to prevent detection errors. It can also prevent many vehicles from being identified as illegal just by staying in the bus lane for a short time.

[0120] As an embodiment of the present invention, before the joint threshold detection mechanism is executed, the method further includes:

[0121] According to the visual sensing equipment, the texture feature scanning and row and column scanning of the social vehicles in front and behind the current bus are performed;

[0122] According to the texture feature scanning, the body attribute characteristics of the social vehicle are determined;

[0123] According to the row and column scanning, the license plate data of social vehicles is determined;

[0124] Segment the license plate data into characters and extract character features after character segmentation;

[0125] Compare the character features with the characters in the standard character database to determine the standard character;

[0126] The standard characters and vehicle body attribute features are input into the internal controller in text form for online verification to exclude the corresponding vehicle from being a bus.

[0127] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0128] After the present invention finds that a vehicle has violated the law, cameras 1 and 2 (binocular vision equipment) begin to scan the body of the illegal vehicle through a texture feature method, locate the vehicle's license plate position according to a row-column scanning method, and perform character segmentation on the license plate through grayscale, grayscale stretching, binarization and other operations. After the character segmentation is completed, feature extraction is performed on the character segmentation image to obtain a specific pair of expressions, which are then compared with the characters in a standard character database to obtain the correct characters of the license plate, and then output to an internal controller in the form of text. The controller compares the vehicle's license plate in a traffic database through networking to exclude whether it is a bus.

[0129] The beneficial effects of the above technical solution are:

[0130] When this application is identifying violations, because some vehicles may be similar to buses, it is impossible to determine whether the vehicle is a bus or a private vehicle. The above method can exclude buses when identifying violations of occupying the road.

[0131] As an embodiment of the present invention: the illegal license plate restriction monitoring and identification includes:

[0132] According to the road vehicle data, all vehicles around the current bus are recognized by license plate recognition to obtain license plate data;

[0133] Compare the license plate data with the license plate restriction features in the real-time license plate restriction database to determine whether there is license plate data that meets the license plate restriction rules;

[0134] When the license plate restriction rules are met, an alarm will be issued based on the corresponding license plate data.

[0135] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0136] When the bus enters a specific location such as a bridge or tunnel, the illegal number restriction system is activated. During the driving of the bus, cameras 1 and 2 will identify the license plates of all vehicles near the bus one by one, and then compare the specific numbers in all license plates with the real-time updated number restriction numbers. When the illegal number restriction system is activated, the second distance threshold X1 in the rear camera is activated at the same time. At this time, the distance threshold of X1 is 0.5-2 meters. At this time, if a private vehicle appears within the range of the distance threshold X1 during driving, the bus display screen will issue an alarm warning to remind the driver that someone is avoiding the number restriction by using the bus, and also prevent rear-end collisions. According to the text obtained by the camera, those that are judged as illegal will have their GPS positioning information, photos taken by the camera, and illegal license plate numbers uploaded to the supervision cloud platform. If there is no illegal behavior, the text will be deleted to improve the camera calculation efficiency.

[0137] The beneficial effects of the above technical solution are:

[0138] This application can perform real-time online license plate restriction identification and then issue an alarm when the license plate restriction is identified. It can also upload the license plate restriction vehicles to the traffic system.

[0139] As an embodiment of the present invention: the vehicle violation determination further includes:

[0140] According to the road data and road vehicle data, a scene dynamic following coordinate system is built, and the real-time midpoint of the bus is used as the dynamic origin of the scene dynamic following coordinate system;

[0141] According to the scene dynamic following coordinate system, a dynamic license plate recording matrix is ​​built; among them,

[0142] The dynamic license plate recording matrix only records the license plates within the preset warning range of the bus;

[0143] According to the dynamic license plate record matrix, the warning trigger mechanism within the preset warning range is determined; among them,

[0144] The early warning trigger mechanism includes a time trigger mechanism and a warning over-distance trigger mechanism;

[0145] According to the time trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range for longer than the preset time, a violation alarm is generated;

[0146] According to the warning over-distance trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range and the distance exceeds the warning distance, an emergency alarm is generated.

[0147] In the actual implementation process of the above scheme, the following implementation methods can be implemented:

[0148] First, based on the road data and road vehicle data, we built a model of the "scene dynamic following coordinate system". The main purpose of this model is to track and record the location information of the vehicle in real time and continuously. In this coordinate system, the real-time midpoint of the bus is used as its dynamic origin. The purpose of this is to keep the bus in a relatively fixed position throughout the driving process, which is convenient for subsequent calculation and analysis. Then, based on this "scene dynamic following coordinate system", the data structure of the "dynamic license plate record matrix" is established. The main function of this matrix is ​​to record all license plate information that enters the warning range. This matrix only records those license plates that enter the preset warning range, which can effectively reduce the system load and improve the calculation efficiency. Next, the data in this "dynamic license plate record matrix" is analyzed to determine which license plates need to issue warnings or emergency alarms. This is achieved by judging the position of each license plate in the "scene dynamic following coordinate system". If the license plate data is within the preset warning range for a period of time exceeding the preset time, it will be considered a violation and a corresponding alarm needs to be generated. Similarly, if the license plate data is within the preset warning range for a distance exceeding the preset distance, it will also be considered a violation and an emergency alarm needs to be issued.

[0149] In general, this vehicle violation determination method and system can effectively utilize road data and vehicle data to achieve real-time and continuous tracking and recording of vehicle location information, thereby improving the efficiency of traffic management. At the same time, it can also provide timely warning and processing of possible violations by setting up a reasonable early warning mechanism, thus ensuring the safety and smoothness of road traffic.

[0150] like Figure 2 , Figure 3 , Figure 4 and Figure 5 , Figure 6 A bus traffic monitoring judgment management device, characterized in that the device comprises:

[0151] Traffic violation activation module: used to set the activation response of the traffic violation subsystem through the internal controller;

[0152] Data acquisition module: used to obtain the road data and road vehicle data of the bus through the binocular camera when receiving the activation response;

[0153] Public transport violation judgment module: used to identify the dedicated lanes for buses based on road data and determine whether there are public transport violations;

[0154] Front and rear vehicle violation judgment module: used to identify vehicle violations based on the lane-occupying vehicle data and determine whether there are any front and rear vehicles violating the law.

[0155] In the specific implementation process, it is first necessary to install visual sensing equipment on the bus, for example: a binocular camera is installed on the front and rear of the bus, and the position is installed on the top of the front and rear of the bus. When the bus starts, the front and rear cameras are turned on to conduct real-time network monitoring and judgment. The timed start system in the internal controller is set to a specific time period of 7:00-9:00 and 17:00-19:00, and the illegal road occupation subsystem in the violation judgment monitoring system in the internal controller is activated by the timer. When the GPS locates a specific location such as a bridge or tunnel, the GPS positioning system in the internal controller transmits a signal to activate the illegal number restriction subsystem in the violation judgment monitoring system. When the illegal road occupation subsystem is activated at a specific time, the binocular camera in front of the bus first judges the road to determine whether the bus is traveling on the bus lane. If it is, the front and rear cameras start to monitor the road, judge the violation and identify the license plate, and record the violation time of the illegal vehicle. Through GPS positioning, the location information, time information, illegal license plate, and illegal vehicle color are stored in the internal controller. When the illegal number restriction subsystem is activated at a specific location, the binocular cameras in front and behind the bus begin to recognize the license plates of the vehicles in front and behind. By comparing the numbers in the specific positions of the license plates with the number restriction numbers updated in real time, it is determined whether there is illegal number restriction driving, and a series of violation information is stored in the internal controller. When a specific location and a specific time occur at the same time, the illegal road occupation system and illegal number restriction system of the bus will be activated at the same time.

[0156] The beneficial effects of the present invention are as follows: the bus traffic monitoring and judgment management system of the present invention monitors and judges illegal vehicles at specific times and under specific circumstances, which is beneficial to the implementation of urban traffic laws, supervises people to drive vehicles correctly and formally, reduces traffic jams, avoids the occurrence of traffic safety problems, and plays a great role in transportation.

[0157] In the specific implementation process, the present invention also provides a control device for a bus traffic monitoring and judgment management system, the device includes: two binocular cameras installed above the front and rear ends of the bus, using the camera to scan the front and rear vehicles, analyzing whether there is any illegal behavior, and used to judge the monitoring and management function. Controller: The controller uses PLC as a controller. Specifically including: Information input module: It is connected to the binocular camera, GPS positioning signal, and timer signal. Database establishment module: It is used to use the various types of data received by the information input module to analyze whether the front and rear vehicles are illegal, whether they have arrived at a specific location and a specific time, and whether to start or stop the subsystem in the camera to establish a database. Instruction output module: The image recognized by the camera is converted into an electrical signal through an image sensor, and then the analog electrical signal is converted into a digital signal by an AD converter and output to the controller.

[0158] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A bus traffic monitoring judgment management method, characterized in that: A bus including an internal controller and a binocular camera is installed, and the method is as follows: Setting the activation response of the illegal lane-occupancy subsystem through the internal controller; When an activation response is received, the road data and road vehicle data of the bus are acquired through the binocular camera; Based on the road data, the dedicated lanes for buses are identified to determine whether there are any violations of bus traffic rules; According to the data of vehicles occupying the road, the vehicle violation identification is carried out to determine whether there are any violations by the vehicles in front or behind; The vehicle violation identification further includes: According to the road data and road vehicle data, a scene dynamic following coordinate system is built, and the real-time midpoint of the bus is used as the dynamic origin of the scene dynamic following coordinate system; According to the scene dynamic following coordinate system, a dynamic license plate recording matrix is ​​built; among them, The dynamic license plate recording matrix only records the license plates within the preset warning range of the bus; According to the dynamic license plate record matrix, the warning trigger mechanism within the preset warning range is determined; among them, The early warning trigger mechanism includes a time trigger mechanism and a warning over-distance trigger mechanism; According to the time trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range for longer than the preset time, a violation alarm is generated; According to the warning over-distance trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range and the distance exceeds the warning distance, an emergency alarm is generated.

2. A bus traffic monitoring judgment management method as claimed in claim 1, characterized in that: The activation response includes a specific time activation response and a specific location activation response; wherein, When the specific time activation response is triggered, the specific location activation response starts the trigger detection; The specific time activation response is used to indicate that the current moment is the execution time of the bus violation detection set in the illegal lane occupying subsystem; The location-specific activation response is used to characterize that the bus is currently in the bus lane.

3. A bus traffic monitoring judgment management method as claimed in claim 2, characterized in that: The internal controller is connected to the visual sensor device installed on the bus; wherein, The visual detection range of the visual sensing device is a preset circular range with the bus as the origin. The visual sensing device is a binocular visual detection device, which includes a first visual device for acquiring road data and a second visual device for focusing the vehicle.

4. A bus traffic monitoring judgment management method as claimed in claim 3, characterized in that: The road data collection process is as follows: Use visual sensing equipment to scan the bus lane and obtain lane images; Through the preset road recognition mechanism, it is determined whether there is a bus lane sign in the current lane of the bus; When there is a bus lane sign, the specific location activation response starts to start the awakened trigger state; When there is no bus lane sign, upload the current location.

5. A bus traffic monitoring judgment management method as claimed in claim 1, characterized in that: The violation identification includes illegal road occupation monitoring identification and illegal license plate restriction monitoring identification; wherein, The illegal road occupation monitoring and identification system is equipped with an intrusion alarm mechanism, and the alarm is issued through the alarm device inside the bus; The illegal license plate restriction monitoring and identification system is equipped with a cloud storage platform to store driving images of license plate restricted vehicles.

6. A bus traffic monitoring judgment management method as claimed in claim 5, characterized in that: The monitoring and identification of illegal road occupation includes: According to the road data, a joint threshold detection mechanism based on time axis distance recording is built; The joint threshold detection mechanism is used to detect the time that social vehicles stay on the bus lane and the distance between them and the current bus; According to the joint threshold detection mechanism, the approach distance of private vehicles in the bus lane is determined, and private vehicles within the intrusion distance range are recorded as suspected violations; The suspected social vehicles that violated the traffic rules will be judged as having stayed beyond the limit, and when the suspected social vehicles that violated the traffic rules exceed the preset stay time, the violation information of the target social vehicles will be uploaded.

7. A bus traffic monitoring judgment management method as claimed in claim 6, characterized in that: Before the joint threshold detection mechanism is executed, the following steps are also included: According to the visual sensing equipment, the texture feature scanning and row and column scanning of the social vehicles in front and behind the current bus are performed; According to the texture feature scanning, the body attribute characteristics of the social vehicle are determined; According to the row and column scanning, the license plate data of social vehicles is determined; Segment the license plate data into characters and extract character features after character segmentation; Compare the character features with the characters in the standard character database to determine the standard character; The standard characters and vehicle body attribute features are input into the internal controller in text form for online verification to exclude the corresponding vehicle from being a bus.

8. A bus traffic monitoring judgment management method and device as claimed in claim 5, characterized in that: The illegal license plate restriction monitoring and identification includes: According to the road vehicle data, all vehicles around the current bus are recognized by license plate recognition to obtain license plate data; Compare the license plate data with the license plate restriction features in the real-time license plate restriction database to determine whether there is license plate data that meets the license plate restriction rules; When the license plate restriction rules are met, an alarm will be issued based on the corresponding license plate data.

9. A bus traffic monitoring and judgment management device, characterized in that: The device comprises: Traffic violation activation module: used to set the activation response of the traffic violation subsystem through the internal controller; Data acquisition module: used to obtain the road data and road vehicle data of the bus through the binocular camera when receiving the activation response; Public transport violation judgment module: used to identify the dedicated lanes for buses based on road data and determine whether there are public transport violations; Front and rear vehicle violation judgment module: used to identify vehicle violations based on the road-occupying vehicle data and determine whether there are front and rear vehicle violations; The vehicle violation identification further includes: According to the road data and road vehicle data, a scene dynamic following coordinate system is built, and the real-time midpoint of the bus is used as the dynamic origin of the scene dynamic following coordinate system; According to the scene dynamic following coordinate system, a dynamic license plate recording matrix is ​​built; among them, The dynamic license plate recording matrix only records the license plates within the preset warning range of the bus; According to the dynamic license plate record matrix, the warning trigger mechanism within the preset warning range is determined; among them, The early warning trigger mechanism includes a time trigger mechanism and a warning over-distance trigger mechanism; According to the time trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range for longer than the preset time, a violation alarm is generated; According to the warning over-distance trigger mechanism, when the dynamic license plate record matrix has license plate data within the preset warning range and the distance exceeds the warning distance, an emergency alarm is generated.

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