CN112581753A - Regional road network dynamic traffic distribution method and system based on omnibearing three-dimensional detection - Google Patents
Regional road network dynamic traffic distribution method and system based on omnibearing three-dimensional detection Download PDFInfo
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- CN112581753A CN112581753A CN201911393163.XA CN201911393163A CN112581753A CN 112581753 A CN112581753 A CN 112581753A CN 201911393163 A CN201911393163 A CN 201911393163A CN 112581753 A CN112581753 A CN 112581753A
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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
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
Abstract
The invention discloses a regional road network dynamic traffic distribution method and a system based on omnibearing three-dimensional detection, wherein the method comprises the following steps: acquiring road video data of each regional road network in real time, and determining the current traffic state of the regional road network according to the road video data; comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, accident information and weather information of the regional road network; and carrying out traffic coordination control according to the future traffic state of the specified regional road network. The invention can judge the traffic state of each regional network in an omnibearing and three-dimensional way and dynamically determine the traffic management scheme according to any specified regional network.
Description
Technical Field
The invention belongs to the technical field of modern traffic intelligent management, and particularly relates to a regional road network dynamic traffic distribution method and system based on omnibearing three-dimensional detection.
Background
In recent years, with the rapid increase of urban population and motor vehicle reserves, the urban traffic problem is further aggravated, the traffic right can be scientifically distributed by adopting an intelligent traffic signal control system, and the traffic order is improved, so that the traffic capacity and traffic efficiency of road intersections are improved, traffic delay and resource waste are reduced, and traffic jam is effectively relieved while the bearing capacity of areas and urban road networks is improved.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a regional road network dynamic traffic distribution method and system based on omnidirectional stereo detection.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the embodiment of the invention provides a regional road network dynamic traffic distribution method based on omnibearing three-dimensional detection, which comprises the following steps:
acquiring road video data of each regional road network in real time, and determining the current traffic state of the regional road network according to the road video data;
comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, accident information and weather information of the regional road network;
and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
In the scheme, the method also comprises the step of acquiring the construction information, the accident information and the weather information of each regional road network in real time.
In the above scheme, the acquiring road video data of each regional road network in real time specifically includes: dividing each regional road network into a plurality of sub-regional road networks, collecting road video data in real time for each sub-regional road network, determining the current traffic state of each sub-regional road network according to the road video data of each sub-regional road network, and then determining the current traffic state of each regional road network according to the weight value determined by the position of the regional road network in which each sub-regional road network is located and the road video data.
In the foregoing solution, the predicting a future traffic state of a specified regional road network according to a current traffic state of a regional road network adjacent to any specified regional road network specifically includes: determining an adjacent regional road network according to the driving direction of any one designated regional road, and comprehensively determining the future traffic state of the designated regional road by combining the current traffic state of the designated regional road, the current traffic state of the adjacent regional road network, and the construction information, accident information and weather information of the regional road network and the adjacent regional road network.
In the above solution, the traffic coordination control is performed according to the future traffic state of the specified regional network, specifically, if the specified regional network has any one of construction information and accident information, the traffic signal between the specified regional network and the regional network adjacent to the specified regional network is adjusted so that the vehicle turns to other regional network, and when the future traffic state of the specified regional network is less than the congestion threshold and the weather information is good, the traffic signal between the specified regional network and the regional network adjacent to the specified regional network is controlled to keep the current state; when the future traffic state of the specified regional road network is smaller than the congestion threshold and the weather information is bad, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks; and when the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks.
In the foregoing solution, when the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, the adjusting the traffic signal between the specified regional road network and the regional road network adjacent to the specified regional road network to steer the vehicle to another regional road network specifically includes: and selecting regional road networks with current traffic states lower than the congestion threshold value and without good construction information, accident information and weather information from the regional road networks adjacent to the specified regional road network, adjusting traffic signals between the regional road networks adjacent to the specified regional road network and the specified regional road network, and guiding vehicles of one adjacent regional road network to the regional road network with the nearest current traffic state lower than the congestion threshold value.
The embodiment of the invention also provides a regional road network traffic coordination control active intervention system, which comprises a regional road network video acquisition terminal, a regional road network data analysis server and a central server:
the regional road network video acquisition terminal is used for acquiring road video data of each regional road network in real time, and the regional road network data analysis server is used for determining the current traffic state of the regional road network according to the road video data;
the central server is used for comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, the accident information and the weather information of the regional road network; and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
In the above scheme, the regional road network video acquisition terminal specifically comprises a sub-regional road network video acquisition terminal for dividing each regional road network into a plurality of sub-regional road networks, each regional road network video acquisition terminal is used for acquiring road video data in real time for each sub-regional road network,
the regional road network data analysis server is specifically used for determining the current traffic state of each sub-regional road network according to the road video data of the sub-regional road network; determining the current traffic state of the regional road network according to the weight value determined by the position of the regional road network in which each sub-regional road network is located and the road video data;
the central server is also used for acquiring the construction information, accident information and weather information of each regional road network in real time.
In the foregoing solution, the regional road network data analysis server is specifically configured to determine a regional road network adjacent to any one designated regional road according to a driving direction of the designated regional road, and determine a future traffic state of the designated regional road by combining a current traffic state of the designated regional road and a current traffic state of the regional road network adjacent to the designated regional road.
In the foregoing solution, the central server is specifically configured to control and maintain a current state of traffic signals between the designated regional road network and the regional road network adjacent to the designated regional road network when a future traffic state of the designated regional road network is less than a congestion threshold, and adjust traffic signals between the designated regional road network and the regional road network adjacent to the designated regional road network so that the vehicle turns to another regional road network when the future traffic state of the designated regional road network is greater than or equal to the congestion threshold; the method is further specifically used for selecting an area road network with a current traffic state lower than a congestion threshold value from area road networks adjacent to the specified area road network, adjusting traffic signals between the area road network adjacent to the specified area road network and the specified area road network, and guiding vehicles of one adjacent area road network to the area road network with the nearest current traffic state lower than the congestion threshold value.
Compared with the prior art, the invention can judge the traffic state of each regional road network in an all-round and three-dimensional way and dynamically determine the traffic management scheme according to any specified regional road network.
Drawings
Fig. 1 is a flowchart of a regional road network dynamic traffic distribution method based on omnidirectional three-dimensional detection according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below 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.
The embodiment of the invention provides a regional road network dynamic traffic flow distribution method based on omnibearing three-dimensional detection, which comprises the following steps of:
step 101: acquiring road video data of each regional road network in real time, and determining the current traffic state of the regional road network according to the road video data;
specifically, each regional road network is divided into a plurality of sub-regional road networks, road video data are collected in real time for each sub-regional road network, the current traffic state of each sub-regional road network is determined according to the road video data of each sub-regional road network, and then the current traffic state of each regional road network is determined according to the weight value determined by the position of the regional road network where each sub-regional road network is located and the road video data.
Step 102: comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, accident information and weather information of the regional road network;
specifically, the regional road network adjacent to any one specified regional road is determined according to the driving direction of the regional road, and the future traffic state of the specified regional road is comprehensively determined by combining the current traffic state of the specified regional road, the current traffic state of the regional road network adjacent to the specified regional road, and the construction information, accident information and weather information of the regional road network and the adjacent regional road network.
Step 103: and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
Specifically, if the specified regional road network has any one of construction information and accident information, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks, and when the future traffic state of the specified regional road network is smaller than a congestion threshold and the weather information is good, controlling the traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network to keep the current state; when the future traffic state of the specified regional road network is smaller than the congestion threshold and the weather information is bad, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks; and when the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks.
When the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks, specifically: and selecting regional road networks with current traffic states lower than the congestion threshold value and without good construction information, accident information and weather information from the regional road networks adjacent to the specified regional road network, adjusting traffic signals between the regional road networks adjacent to the specified regional road network and the specified regional road network, and guiding vehicles of one adjacent regional road network to the regional road network with the nearest current traffic state lower than the congestion threshold value.
The embodiment of the invention also provides a regional road network traffic coordination control active intervention system, which comprises a regional road network video acquisition terminal, a regional road network data analysis server and a central server:
the regional road network video acquisition terminal is used for acquiring road video data of each regional road network in real time,
the regional road network data analysis server is used for determining the current traffic state of the regional road network according to the road video data;
the central server is used for comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, the accident information and the weather information of the regional road network; and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
The regional road network video acquisition terminal specifically comprises a sub-regional road network video acquisition terminal for dividing each regional road network into a plurality of sub-regional road networks, each regional road network video acquisition terminal is used for acquiring road video data aiming at each sub-regional road network in real time,
the regional road network data analysis server is specifically used for determining the current traffic state of each sub-regional road network according to the road video data of the sub-regional road network; and determining the current traffic state of the regional road network according to the weight value determined by the position of the regional road network in which each sub-regional road network is located and the road video data.
The central server is also used for acquiring the construction information, accident information and weather information of each regional road network in real time.
The regional road network data analysis server is specifically used for determining a regional road network adjacent to any one designated regional road according to the driving direction of the regional road, and determining the future traffic state of the designated regional road by combining the current traffic state of the designated regional road and the current traffic state of the regional road network adjacent to the designated regional road.
The central server is specifically configured to control and maintain a current state of traffic signals between the designated regional network and the regional network adjacent to the designated regional network when the future traffic state of the designated regional network is less than the congestion threshold, and adjust the traffic signals between the designated regional network and the regional network adjacent to the designated regional network so that the vehicle turns to another regional network when the future traffic state of the designated regional network is greater than or equal to the congestion threshold.
The central server is specifically configured to select an area road network with a current traffic state lower than a congestion threshold value from area road networks adjacent to the specified area road network, adjust traffic signals between the area road network adjacent to the specified area road network and the specified area road network, and guide vehicles of one adjacent area road network to the area road network with the closest current traffic state lower than the congestion threshold value.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A regional road network dynamic traffic flow distribution method based on omnibearing three-dimensional detection is characterized by comprising the following steps:
acquiring road video data of each regional road network in real time, and determining the current traffic state of the regional road network according to the road video data;
comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, accident information and weather information of the regional road network;
and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
2. The dynamic traffic distribution method for regional networks based on omnidirectional three-dimensional detection according to claim 1, wherein the method further comprises the step of collecting construction information, accident information and weather information of each regional network in real time.
3. The dynamic traffic distribution method for regional road networks based on omnidirectional three-dimensional detection according to claim 1 or 2, wherein the real-time collection of road video data of each regional road network specifically comprises: dividing each regional road network into a plurality of sub-regional road networks, collecting road video data in real time for each sub-regional road network, determining the current traffic state of each sub-regional road network according to the road video data of each sub-regional road network, and then determining the current traffic state of each regional road network according to the weight value determined by the position of the regional road network in which each sub-regional road network is located and the road video data.
4. The dynamic traffic distribution method for regional road networks based on omnidirectional three-dimensional detection according to claim 3, wherein the predicting of the future traffic state of a specified regional road network according to the current traffic state of any one regional road network adjacent to the specified regional road network specifically comprises: determining an adjacent regional road network according to the driving direction of any one designated regional road, and comprehensively determining the future traffic state of the designated regional road by combining the current traffic state of the designated regional road, the current traffic state of the adjacent regional road network, and the construction information, accident information and weather information of the regional road network and the adjacent regional road network.
5. The method for dynamically distributing traffic to regional road networks based on omnidirectional three-dimensional detection according to claim 4, wherein the traffic coordination control is performed according to the future traffic state of the specified regional road network, specifically, if the specified regional road network has any one of construction information and accident information, the traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network are adjusted so that the vehicle can turn to other regional road networks, and when the future traffic state of the specified regional road network is less than the congestion threshold and the weather information is good, the traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network are controlled to keep the current state; when the future traffic state of the specified regional road network is smaller than the congestion threshold and the weather information is bad, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks; and when the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, adjusting traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network so that the vehicle can turn to other regional road networks.
6. The method for dynamically distributing traffic to regional road networks based on omnidirectional three-dimensional detection according to claim 5, wherein when the future traffic state of the specified regional road network is greater than or equal to the congestion threshold, traffic signals between the specified regional road network and the regional road network adjacent to the specified regional road network are adjusted so that the vehicle can turn to other regional road networks, specifically: and selecting regional road networks with current traffic states lower than the congestion threshold value and without good construction information, accident information and weather information from the regional road networks adjacent to the specified regional road network, adjusting traffic signals between the regional road networks adjacent to the specified regional road network and the specified regional road network, and guiding vehicles of one adjacent regional road network to the regional road network with the nearest current traffic state lower than the congestion threshold value.
7. A regional road network traffic coordination control active intervention system is characterized by comprising a regional road network video acquisition terminal, a regional road network data analysis server and a central server:
the regional road network video acquisition terminal is used for acquiring road video data of each regional road network in real time,
the regional road network data analysis server is used for determining the current traffic state of the regional road network according to the road video data;
the central server is used for comprehensively predicting the future traffic state of the specified regional road network according to the current traffic state of the regional road network adjacent to any specified regional road network by combining the construction information, the accident information and the weather information of the regional road network; and carrying out traffic coordination control according to the future traffic state of the specified regional road network.
8. The system according to claim 7, wherein the local area network video capture terminals comprise sub-area network video capture terminals for dividing each local area network into a plurality of sub-area networks, each local area network video capture terminal is configured to capture road video data for each sub-area network in real time,
the regional road network data analysis server is specifically used for determining the current traffic state of each sub-regional road network according to the road video data of the sub-regional road network; determining the current traffic state of the regional road network according to the weight value determined by the position of the regional road network in which each sub-regional road network is located and the road video data;
the central server is also used for acquiring the construction information, accident information and weather information of each regional road network in real time.
9. The system according to claim 7 or 8, wherein the regional network data analysis server is configured to determine a regional network adjacent to any one designated regional road according to the driving direction of the designated regional road, and determine the future traffic state of the designated regional road by combining the current traffic state of the designated regional road and the current traffic state of the regional network adjacent to the designated regional road.
10. The system according to claim 9, wherein the central server is specifically configured to maintain a current state of traffic signal control between the designated regional network and the regional network adjacent to the designated regional network when a future traffic state of the designated regional network is less than a congestion threshold, and adjust traffic signals between the designated regional network and the regional network adjacent to the designated regional network when the future traffic state of the designated regional network is greater than or equal to the congestion threshold so as to steer the vehicle to another regional network; the method is further specifically used for selecting an area road network with a current traffic state lower than a congestion threshold value from area road networks adjacent to the specified area road network, adjusting traffic signals between the area road network adjacent to the specified area road network and the specified area road network, and guiding vehicles of one adjacent area road network to the area road network with the nearest current traffic state lower than the congestion threshold value.
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