CN113192327B - Road operation risk active prevention and control system and method considering traffic flow and individuals - Google Patents
Road operation risk active prevention and control system and method considering traffic flow and individuals Download PDFInfo
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Abstract
The invention belongs to the technical field of traffic safety, and particularly relates to an active road running risk prevention and control system and method considering traffic flow and individuals. The system comprises: the system comprises a cloud processing center platform, a variable information board and a plurality of traffic flow monitoring devices; each traffic flow monitoring device is arranged on a portal frame at the road side of the highway, and each traffic flow monitoring device comprises a traffic event detector, a network camera and a millimeter wave radar. Aiming at the prevention and control problems of the road safety levels of two-way two lanes, the invention prevents and controls the running risk of the road from the angles of speed induction and information reminding, particularly obtains the change condition of the current traffic in a visual acquisition mode, determines the current road risk level by evaluating the captured traffic condition, controls the vehicle speed of the upstream traffic flow, avoids the traffic jam of multiple accident points caused by mass convergence of upstream vehicles, and effectively avoids the occurrence of traffic accidents.
Description
Technical Field
The invention belongs to the technical field of traffic safety, and particularly relates to an active road running risk prevention and control system and method considering traffic flow and individuals.
Background
The existing active risk prevention and control method does not control the speed of vehicles of the upstream traffic flow, so that a large amount of vehicles at the upstream are converged into accident points at the downstream, traffic jam at the accident multi-occurrence points is caused, and the road transportation efficiency is reduced.
Disclosure of Invention
Aiming at the problems of prevention and control of the road safety levels of two-way two lanes, the invention aims to provide an active prevention and control method and system for the road running risk considering both traffic flow and individuals.
In order to achieve the purpose, the invention adopts the following technical scheme:
the active prevention and control system for taking traffic flow and individual road running risk into consideration comprises: the system comprises a cloud processing center platform, a variable information board and a plurality of traffic flow monitoring devices;
each traffic flow monitoring device is arranged on a portal frame at the road side of the highway, and each traffic flow monitoring device comprises a traffic event detector, a network camera and a millimeter wave radar; the network camera comprises an edge calculation unit; the traffic incident detector is used for extracting vehicle information of abnormal traffic incidents when the abnormal traffic incidents on the roads are detected in real time and transmitting the vehicle information to the cloud processing center platform, wherein the vehicle information comprises vehicle types, colors and license plates; the network camera is used for shooting vehicle information of each vehicle on the road and transmitting the vehicle information to the edge computing unit; the edge computing unit is used for acquiring vehicle information, generating an ID code of a corresponding vehicle and transmitting the ID code to the cloud processing center platform; the millimeter wave radar is used for detecting the speed information of each vehicle on the road and transmitting the speed information to the cloud processing center platform;
the cloud processing center platform determines a traffic flow risk level and an individual risk level on a road and a prevention and control strategy corresponding to the traffic flow risk level and the individual risk level matched with the traffic flow risk level and transmits the corresponding prevention and control strategy to the variable information board according to the vehicle information, the ID code, the vehicle speed and the position information;
the variable information board is arranged on the road side and used for displaying early warning information according to a control strategy.
Furthermore, three traffic flow monitoring devices are arranged on a portal frame at the road side at the position 100m upstream of the high accident frequency starting point, a portal frame at the road side at the position 400m upstream and a portal frame at the road side at the position 1000m upstream in sequence; wherein the high incidence point of the accident frequency is determined according to historical traffic data.
Further, there are two variable information boards, namely a variable information board S1 and a variable information board S2;
the variable information board S1 is arranged on the road side 300m upstream of the high accident frequency starting point and is used for displaying traffic flow correction information;
the variable information board S2 is provided on the road side 1000m upstream of the high-frequency-of-accident point, and is used to display individual vehicle information with a high individual risk level.
(II) taking traffic flow and individual road operation risk into consideration, the active prevention and control method comprises the following steps:
step 1, determining a high accident frequency occurrence point according to historical traffic data, sequentially arranging a plurality of traffic flow monitoring devices along the upstream of the high accident frequency occurrence point, wherein each traffic flow monitoring device corresponds to one sub-road section, and acquiring vehicle information of abnormal traffic events on the corresponding sub-road section and vehicle information and vehicle speed information of each vehicle on the corresponding sub-road section; the vehicle information comprises a vehicle type, a color and a license plate;
each sub-road segment detects abnormal traffic incidents occurring on the road in real time through a traffic incident detector; the network camera shoots vehicle information of each vehicle on a road; the edge calculation unit generates an ID code of the corresponding vehicle; the millimeter wave radar detects the speed information of each vehicle on the road;
step 2, determining traffic flow risk levels and individual risk levels of all sub-road sections according to the vehicle information of abnormal traffic events on all the sub-road sections and the vehicle information and the vehicle speed information of each vehicle on all the sub-road sections, and issuing prevention and control strategies;
step 3, comparing the traffic flow risk grade and the individual risk grade according to the traffic flow risk grade and the individual risk grade of each sub road section, and displaying the speed limit;
and 4, acquiring the ID codes and the vehicle speeds of all vehicles, comparing the vehicle speed of each vehicle with the speed limit in the step 3, and displaying early warning information according to the comparison result.
Further, in step 1, the historical traffic data includes accident types and accident occurrence rates.
Further, in step 1, the abnormal traffic event is: parking violations, traffic jams, illegal retrograde motion, line-crossing, slow motion, or speeding.
Further, in step 1, the prevention and control strategy specifically determines that: and selecting a prevention and control strategy corresponding to the traffic flow risk grade and a prevention and control strategy corresponding to the individual risk grade which are matched with the traffic flow risk grade from the traffic characteristic database according to the traffic flow risk grade and the individual risk grade of each sub-road section, and issuing the selected prevention and control strategies.
Further, in step 2, the specific process of comparing the traffic flow risk level with the individual risk level is as follows:
after the traffic flow risk grade and the individual risk grade are subjected to normalization processing, when the traffic flow risk grade is larger than the individual risk grade, displaying traffic flow correction information; the traffic flow correction information is used for limiting the average traffic flow speed of the traffic flow;
and when the traffic flow risk grade is less than or equal to the individual risk grade, displaying the individual vehicle information with higher individual risk grade.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts a prediction mode to predict traffic accidents or potential risks of downstream road sections of a traffic flow, prompts are issued by an ITS (intelligent transportation system) to induce the traffic flow, microscopic individual vehicles in a macroscopic traffic flow after information is issued are detected (including vehicle speed, lane change behaviors and the like), and individuals who do not obey the issued information are corrected, wherein the correction means comprises displaying the information of illegal vehicles, reminding drivers of paying attention to the content of complying with the traffic information, and avoiding the occurrence of the traffic accidents in advance.
Drawings
Fig. 1 is a flow chart of an active prevention and control system and method for taking into account traffic flow and individual road running risk provided by an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Test methods in which specific conditions are not specified in the following examples are generally carried out under conventional conditions or under conditions recommended by the respective manufacturers.
Example 1
The embodiment of the invention provides an active prevention and control system for taking traffic flow and individual road running risks into consideration, which comprises the following components: the system comprises a cloud processing center platform, a variable information board and a plurality of traffic flow monitoring devices;
each traffic flow monitoring device is arranged on a portal frame at the road side of the highway, and each traffic flow monitoring device comprises a traffic event detector, a network camera and a millimeter wave radar; the network camera comprises an edge calculation unit; the traffic incident detector is used for extracting vehicle information of abnormal traffic incidents when the abnormal traffic incidents on the roads are detected in real time and transmitting the vehicle information to the cloud processing center platform, wherein the vehicle information comprises vehicle types, colors and license plates; the network camera is used for shooting vehicle information of each vehicle on the road and transmitting the vehicle information to the edge computing unit; the edge computing unit is used for acquiring vehicle information, generating an ID code of a corresponding vehicle and transmitting the ID code to the cloud processing center platform; the millimeter wave radar is used for detecting the speed information of each vehicle on the road and transmitting the speed information to the cloud processing center platform;
the cloud processing center platform determines individual risk levels and traffic flow risk levels on a road, and prevention and control strategies corresponding to the individual risk levels and the traffic flow risk levels matched with the individual risk levels and the prevention and control strategies corresponding to the traffic flow risk levels according to the vehicle information, the ID codes, the vehicle speed and the position information, and transmits the corresponding prevention and control strategies to the variable information board;
the variable information board is arranged on the road side and used for displaying the early warning information according to the control strategy.
Furthermore, three traffic flow monitoring devices are arranged on a portal frame at the road side at the position 100m upstream of the high accident frequency starting point, a portal frame at the road side at the position 400m upstream and a portal frame at the road side at the position 1000m upstream in sequence; wherein, the high accident frequency starting point is determined according to historical traffic data;
specifically, a gantry on the road side 100M upstream of the high accident frequency occurrence point is M1, a gantry on the road side 400M upstream of the high accident frequency occurrence point is M2, and a gantry on the road side 1000M upstream of the high accident frequency occurrence point is M3.
Further, there are two variable information boards, namely a variable information board S1 and a variable information board S2;
the variable information board S1 is arranged on the road side 300m upstream of the high accident frequency starting point and is used for displaying traffic flow correction information; the traffic flow correction information is information for limiting the average traffic flow speed of the traffic flow;
the variable information board S2 is provided on the road side 1000m upstream of the high-frequency-of-accident point, and is used to display individual vehicle information with a high individual risk level.
Example 2
The embodiment of the invention provides an active prevention and control method for road running risks considering traffic flow and individuals, which comprises the following steps:
step 1, determining a high accident frequency occurrence point according to historical traffic data, sequentially arranging a plurality of traffic flow monitoring devices along the upstream of the high accident frequency occurrence point, wherein each traffic flow monitoring device corresponds to one sub-road section, and acquiring vehicle information of abnormal traffic events on the corresponding sub-road section and vehicle information and vehicle speed information of each vehicle on the corresponding sub-road section; the vehicle information comprises a vehicle type, a color and a license plate;
the historical traffic data comprises accident types and accident occurrence rates; the abnormal traffic event is: illegal parking, traffic jam, illegal retrograde motion, line-crossing driving, slow motion or overspeed;
specifically, the specific determination process of the prevention and control strategy is as follows: according to the traffic flow risk level and the individual risk level of each sub-road section, selecting a prevention and control strategy corresponding to the traffic flow risk level and the individual risk level which are matched with the control strategy in the traffic characteristic database, and issuing the selected prevention and control strategy;
each sub-road segment detects abnormal traffic incidents occurring on the road in real time through a traffic incident detector; the network camera shoots vehicle information of each vehicle on a road; the edge calculation unit generates an ID code of the corresponding vehicle; the millimeter wave radar detects the speed information of each vehicle on the road;
step 2, determining traffic flow risk levels and individual risk levels of all sub-road sections according to the vehicle information of abnormal traffic events on all the sub-road sections and the vehicle information and the vehicle speed information of each vehicle on all the sub-road sections, and issuing prevention and control strategies;
specifically, the specific process of comparing the traffic flow risk level and the individual risk level is as follows:
after the traffic flow risk grade and the individual risk grade are subjected to normalization processing, when the traffic flow risk grade is larger than the individual risk grade, displaying traffic flow correction information; the traffic flow correction information is used for limiting the average traffic flow speed of the traffic flow;
when the traffic flow risk level is less than or equal to the individual risk level, displaying individual vehicle information with higher individual risk level;
step 3, comparing the traffic flow risk grade and the individual risk grade according to the traffic flow risk grade and the individual risk grade of each sub road section, and displaying the speed limit;
and 4, acquiring the ID codes and the vehicle speeds of all vehicles, comparing the vehicle speed of each vehicle with the speed limit in the step 3, and displaying early warning information according to the comparison result.
Further, after the variable information board issues corresponding early warning, a network camera and a millimeter wave radar which are installed on the gantry can detect the vehicle driving behavior of the current coverage area according to the issued speed requirement or relevant lane change information, record the information of the motor vehicle which does not drive according to the issued information, send the recorded information of the motor vehicle which does not drive according to the issued information to the cloud processing center platform, and the cloud processing center platform can evaluate the safety early warning level of the current vehicle. Then, comparing the safety early warning level of the current individual vehicle with the safety early warning level of the traffic flow after normalization processing, taking further correction measures aiming at the individual vehicle or the traffic flow with higher safety early warning level, determining the individual or the traffic flow with higher risk level as a main correction object, issuing the speed limit information of the traffic flow or the individual aiming at the risk level on a variable information board, and reminding the motor vehicle which does not run according to the issued information to run according to the issued information;
specifically, when a traffic event detector on a portal frame M1 detects a vehicle abnormal event of a corresponding road section, vehicle information of the abnormal traffic event is extracted and transmitted to a cloud processing center platform, wherein the vehicle information comprises a vehicle type, a color and a license plate;
the cloud processing center platform determines individual risk levels, matches prevention and control strategies corresponding to the individual risk levels in a traffic characteristic database in the cloud processing center platform, and sends early warning information to the variable information board S2, wherein the early warning information refers to speed limit values, the speed limit values are issued according to common speed limit values of roads specified by traffic control departments, the speed limit specification is 30km/h, and meanwhile, the variable information board S2 displays characters of ' danger in front of 1km ', attention is paid to keeping the speed of the vehicles ' and the like and similar prompt information;
the network camera installed on the gantry M3 can shoot the vehicle information of the current vehicle and transmit the vehicle information to the edge calculation unit, wherein the vehicle information comprises the vehicle type, the color and the license plate; the edge computing unit is used for acquiring vehicle information, generating an ID code of a corresponding vehicle and transmitting the ID code to the cloud processing center platform; the millimeter wave radar is used for detecting the speed information of each vehicle on the road and transmitting the speed information to the cloud processing center platform; the cloud processing center platform stores the ID codes of the vehicles and the speed information of the vehicles, the network cameras on the portal frame M2 identify the ID codes of the corresponding vehicles before the corresponding ID vehicles reach the position of the front portal frame M2, the network cameras mounted on the portal frame M2 determine the speed information of the vehicles corresponding to the ID codes again, whether the current speed information is compared with the speed information issued by the cloud processing center platform or not is judged, whether the speed reaches the regulation or not is judged, when the difference between the current speed of the currently recorded ID codes and the issuing speed is detected to be more than or equal to 20km/h, and the risk level of the currently corresponding ID vehicles is evaluated to be higher, the variable information board S2 is triggered, and the S2 issues the information of the vehicles corresponding to the ID codes to require that the speed of the vehicles is reduced to the issuing limit speed;
if the speed of the vehicle corresponding to the ID code reaches the speed requirement issued by the variable information board S2, the edge calculation unit on the portal frame M2 releases the ID code of the corresponding vehicle; on the contrary, the speed of the vehicle with the ID code does not reach the speed requirement issued by the variable information board S2, the edge calculating unit on the portal frame M2 continuously stores the vehicle information corresponding to the ID code and further sends the license plate information of the current vehicle to the variable information board S1, the variable information board continuously displays the accident information of the front 300M and simultaneously displays the license plate information of the vehicle which does not currently run at the speed issued by the variable information board S2, and the driver is further prompted to control the running speed according to the issued speed requirement. In summary, the invention adopts a prediction mode to predict traffic accidents or potential risks of downstream links of a traffic flow, prompts are issued by an ITS (intelligent transportation system) to induce the traffic flow, behaviors (including vehicle speed, lane change behavior and the like) of microscopic individual vehicles in a macroscopic traffic flow after information is issued are detected, and behaviors which do not comply with the issued information are corrected, wherein the correction means comprises displaying information of violation vehicles, reminding drivers to pay attention to the contents of complying with the traffic information issuance, and avoiding the occurrence of traffic accidents in advance.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such 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 such modifications and variations.
Claims (4)
1. The active road operation risk prevention and control method considering both traffic flow and individuals is realized based on an active road operation risk prevention and control system considering both traffic flow and individuals, and the active road operation risk prevention and control system considering both traffic flow and individuals comprises the following steps: the system comprises a cloud processing center platform, a variable information board and a plurality of traffic flow monitoring devices;
each traffic flow monitoring device is arranged on a portal frame at the road side of the highway, and each traffic flow monitoring device comprises a traffic event detector, a network camera and a millimeter wave radar; the network camera comprises an edge calculation unit; the traffic incident detector is used for extracting vehicle information of abnormal traffic incidents when the abnormal traffic incidents on the roads are detected in real time and transmitting the vehicle information to the cloud processing center platform, wherein the vehicle information comprises vehicle types, colors and license plates; the network camera is used for shooting vehicle information of each vehicle on the road and transmitting the vehicle information to the edge computing unit; the edge computing unit is used for acquiring vehicle information, generating an ID code of a corresponding vehicle and transmitting the ID code to the cloud processing center platform; the millimeter wave radar is used for detecting the speed information of each vehicle on the road and transmitting the speed information to the cloud processing center platform;
the cloud processing center platform determines a traffic flow risk level and an individual risk level on a road and a prevention and control strategy corresponding to the traffic flow risk level and the individual risk level matched with the traffic flow risk level and transmits the corresponding prevention and control strategy to the variable information board according to the vehicle information, the ID code, the vehicle speed and the position information;
the variable information board is arranged at the road side and used for displaying early warning information according to a control strategy;
the two variable information boards are respectively a variable information board S1 and a variable information board S2;
the variable information board S1 is arranged on the road side 300m upstream of the high accident frequency starting point and is used for displaying traffic flow correction information;
the variable information board S2 is provided on the road side 1000m upstream of the high-frequency-of-accident-point, and is configured to display individual vehicle information with a high individual risk level, and includes the following steps:
step 1, determining a high accident frequency occurrence point according to historical traffic data, sequentially arranging a plurality of traffic flow monitoring devices along the upstream of the high accident frequency occurrence point, wherein each traffic flow monitoring device corresponds to one sub-road section, and acquiring vehicle information of abnormal traffic events on the corresponding sub-road section and vehicle information and vehicle speed information of each vehicle on the corresponding sub-road section; the vehicle information comprises a vehicle type, a color and a license plate;
each sub-road segment detects abnormal traffic incidents occurring on the road in real time through a traffic incident detector; the network camera shoots vehicle information of each vehicle on a road; the edge calculation unit generates an ID code of the corresponding vehicle; the millimeter wave radar detects the speed information of each vehicle on the road;
step 2, determining traffic flow risk levels and individual risk levels of all sub-road sections according to the vehicle information of abnormal traffic events on all the sub-road sections and the vehicle information and the vehicle speed information of each vehicle on all the sub-road sections, and issuing prevention and control strategies;
the specific determination process of the prevention and control strategy is as follows: according to the traffic flow risk level and the individual risk level of each sub-road section, selecting a prevention and control strategy corresponding to the traffic flow risk level and the individual risk level which are matched with the control strategy in the traffic characteristic database, and issuing the selected prevention and control strategy;
step 3, comparing the traffic flow risk grade and the individual risk grade according to the traffic flow risk grade and the individual risk grade of each sub road section, and displaying the speed limit;
the specific process for comparing the traffic flow risk level with the individual risk level is as follows:
after the traffic flow risk grade and the individual risk grade are subjected to normalization processing, when the traffic flow risk grade is larger than the individual risk grade, displaying traffic flow correction information; the traffic flow correction information is used for limiting the average traffic flow speed of the traffic flow;
when the traffic flow risk level is less than or equal to the individual risk level, displaying individual vehicle information with higher individual risk level;
and 4, acquiring the ID codes and the vehicle speeds of all vehicles, comparing the vehicle speed of each vehicle with the speed limit in the step 3, and displaying early warning information according to the comparison result.
2. The traffic flow and individual road running risk active prevention and control method according to claim 1, characterized in that there are three traffic flow monitoring devices, and the three traffic flow monitoring devices are sequentially arranged on a portal frame at the road side 100m upstream of the accident frequency high-incidence point, a portal frame at the road side 400m upstream, and a portal frame at the road side 1000m upstream; wherein the high incidence point of the accident frequency is determined according to historical traffic data.
3. The active prevention and control method for road traffic flow and individual road running risk according to claim 1, wherein in step 1, the historical traffic data comprises accident type and accident occurrence rate.
4. The active prevention and control method for traffic flow and individual road operation risk according to claim 1, wherein in step 1, the abnormal traffic event refers to: parking violations, traffic jams, illegal retrograde motion, line-crossing, slow motion, or speeding.
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| CN114141030B (en) * | 2021-12-27 | 2022-11-01 | 吉林大学 | Post-accident highway traffic flow induction method under heterogeneous driving requirements |
| CN115578867A (en) * | 2021-12-28 | 2023-01-06 | 杭州电子科技大学 | Low-delay real-time flow prediction cloud platform coupling Internet of things and edge computing equipment |
| CN114550448B (en) * | 2022-02-16 | 2024-02-13 | 中国山东国际经济技术合作有限公司 | Lane-level traffic risk management and control system based on millimeter wave radar |
| CN114333362B (en) * | 2022-02-28 | 2022-11-15 | 四川北斗云联科技有限公司 | Highway traffic flow detection device and flow distribution management method |
| CN115410286A (en) * | 2022-08-12 | 2022-11-29 | 西安公路研究院有限公司 | Multi-mode vehicle classification prevention and control integrated system |
| CN116978233B (en) * | 2023-09-22 | 2023-12-26 | 深圳市城市交通规划设计研究中心股份有限公司 | Active variable speed limiting method for accident-prone region |
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