Traffic network traffic light control method, system and computer-readable storage medium

Abstract

The present invention provides a traffic network traffic light control method and system based on edge computing, and a computer-readable storage medium. Information is shared between edge nodes connected to road sections, and a central cloud server shares information of all nodes. Each edge node sends the real-time traffic operation status to the cloud server, and the cloud server optimizes the timing scheme of the entire traffic network according to a specific optimization algorithm to obtain the best setting time for the current traffic lights at each intersection; and then the cloud The server sends the corresponding time adjustment scheme to each edge node. At the same time, each edge node will optimize the regional timing based on the local traffic network formed by the nodes connected to it, and obtain a local timing scheme based on regional traffic optimization; the two schemes will compete, and the optimization goal will be improved the most. will be adopted; then each edge terminal control module will make real-time adjustments to the traffic signal equipment controlled by it.

Description

technical field [0001] The invention relates to the technical field of traffic control, in particular to a traffic network traffic light control method, system and computer-readable storage medium. Background technique [0002] Existing traffic light control strategies are relatively backward. Basically, the waiting or passing time of the traffic lights at the intersection is set artificially based on the past experience of the traffic volume of the intersection, ignoring the morning and evening rush hours and holidays or Traffic flow bursts in emergencies. This has just brought traffic flow pressure to this crossing and the road section that adjacent crossing passes, has reduced the passing efficiency of traffic, has brought inconvenience to the travel of city dweller. Moreover, travel users are often unable to obtain traffic information on relevant road sections in a timely manner, and cannot choose a more suitable travel plan. The lag of information makes congested road ...

AI Technical Summary

Problems solved by technology

However, when the scale of the intersection expands and the urban traffic expands, the centralized control system cannot meet the communication transmission of a large amount of traffic data flow and the real-time optimization of traffic control strategies, and the traffic model becomes larger and larger, and the maintenance difficulty becomes greater

In the face of overly complex data, traditional traffic signal equipment control schemes and traffic data processing methods can no longer meet the needs of today's traffic control optimization

[0008] In some places, a traffic signal device that can be manually adjusted and timed is placed in the middle of the intersection. When adjustment is required, the traffic police will go to operate it. This kind of subjective adjustment method may not be able to solve the problems encountered in the current road section. problems, and when the traffic flow is large and the traffic is complicated, the personal safety of the traffic police is easily threatened

The use of multiple sensors to obtain traffic flow status means the cost of road reconstruction and the cost of sensor equipment installation and maintenance

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