Traffic signal light control method, device, computer equipment and storage medium

Abstract

The present invention provides a traffic signal light control method, device, computer equipment and storage medium. The method includes: acquiring traffic environment training data, and performing deep learning on the traffic environment training data based on the Q-Learning algorithm to obtain a joint traffic state and The Q matrix corresponding to the joint intersection behavior; if the current time is the first preset time, the traffic status of the several preset road sections is obtained every preset cycle to obtain the current joint traffic status; based on the current joint traffic status and the The Q matrix controls the passing switching time of the traffic lights of the several preset road sections. By training the Q-Learning algorithm model for data modeling, the Q matrix of the traffic state corresponding to the selection behavior of the traffic light switching time is obtained. During the period of traffic congestion, the result of reinforcement learning, that is, the Q matrix, is used to realize the control of traffic lights. , by changing the traffic switching time of traffic lights to improve the overall traffic situation and alleviate traffic congestion.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a traffic signal light control method, device, computer equipment and storage medium. Background technique [0002] With the development of the economy and the development of the automobile industry, traffic problems are becoming more and more serious. On the one hand, it affects people's travel, and on the other hand, it has become an important factor restricting economic development. To fundamentally solve the problem of traffic congestion, in addition to expanding urban roads, transforming urban layout, and enhancing people's traffic awareness, artificial intelligence has become one of the important means to solve the problem of traffic congestion. [0003] The existing method of improving traffic congestion through artificial intelligence is generally to intelligently control the passing time of each direction indicated by the traffic light according t...

AI Technical Summary

Problems solved by technology

This method refers to the intelligent control of a single traffic light signal, and only intelligently improves the traffic congestion of the corresponding road through the intelligent control of the traffic light signal at each intersection. It may lead to a reduction in the traffic efficiency of another road, and ultimately lead to an insignificant improvement in the overall traffic efficiency of the city or a certain area

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