ROAD TRAFFIC LIGHT COORDINATION AND CONTROL METHOD BASED ON REINFORCEMENT LEARNING

摘要

A road traffic light coordination and control method based on reinforcement learning, comprising: a monitoring device is provided corresponding to each intersection, and each monitoring device is connected to a remote server through a network module. The control method comprises: (1) the remote server calculates a waiting time S by receiving a video signal; (2) the remote server performs analysis to obtain a road congestion condition under each phase state a i; (3) the remote server obtains a feasible degree ci ai under the phase state a i, wherein when a flow of traffic can pass through the road, the road is clear and the feasible degree ci ai is 1; otherwise, the road is congested and the feasible degree ci ai is 0; (4) the waiting time S and the feasible degree ci ai are used to calculate an optimal driving phase state a i of the intersection; (5) adjust the traffic lights. Based on video information acquired in real time and by means of coordination and control of traffic lights of a plurality of intersections in one area, traffic efficiency is improved, the flow of traffic of the area is maximized, and the road traffic congestion condition is alleviated.