Traffic signal self-adaptive control method based on dynamic priority

Abstract

A traffic signal self-adaptive control method based on dynamic priority belongs to the technical field of intelligent transportation, and includes two parts, namely the optimal phase control strategy and stability supervisory mechanism, eliminates parameters such as period, split and phase difference in a traditional traffic signal control system, wherein the main process of the optimal phase control strategy includes the steps of modeling for a road network, building a directed weighted graph, calculating the dynamic priority of permission segments through the PageRank algorithm based on pagerank as per the built directed weighted graph, confirming the sequence of signal phases as per the priority of permission segments, and distributing the lighting time of green lights; as a supplement of the optimal phase control strategy, the stability supervisory mechanism is mainly in charge of supervising the permission conditions of all the segments in the traffic road network, and is used for granting the permission of one segment if the segment without the permission causes instability of the system, thereby guaranteeing the stability of the system. As parameters such as period, split and phase difference in the traditional traffic signal control system are eliminated, real-time response to the variation of traffic flow is realized, and the system is stable after the parameters such as period are removed.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic, and relates to a traffic signal control method. Background technique [0002] Intelligent traffic control system is an effective means to alleviate traffic congestion. There are many factors that cause urban traffic congestion, among which the improper phase sequence and timing of intersection signals, and the ineffective coordination of signal lights between intersections are technical reasons. Therefore, by improving traffic signal control technology, the utilization rate of urban roads can be effectively improved and the possibility of traffic congestion can be reduced. The current urban traffic signal control system mainly has the following problems: [0003] 1. Improper signal cycle setting [0004] The traffic signal period is a very important parameter of the urban traffic signal control system. If the signal period is too short or too long, and the signal phase timing is un...

AI Technical Summary

Problems solved by technology

If the signal period of the traffic control system is set too short, it will cause frequent alternation of the right of way of vehicles in different directions at the intersection, and the switching of signal lights requires a certain switching time. waste of

If the signal period is too short, the green light time will also be shortened accordingly. It is difficult to ensure that vehicles from all directions pass through the intersection smoothly within one green light time, which will cause frequent parking at the intersection, which will increase the total delay and reduce the utilization rate of the intersection. and reduced capacity

[0006] (2) The cycle is too long

Therefore, unreasonable phase timing will increase the delay time of vehicles

[0008] 2. The signal phase sequence is unreasonable

If the set signal phase cannot match the physical structure of the road infrastructure, the resource utilization rate of the intersection will decrease, and in severe cases, it will cause traffic chaos

[0010] 3. The signal control does not match the actual traffic situation

[0011] Due to the randomness and uncertainty of traffic flow, accurate real-time prediction of traffic flow cannot be made, so signal control has hysteresis and cannot be accurately and effectively controlled for real-time traffic conditions

Images