Improved deep deterministic policy gradient network traffic signal control system

Abstract:

The traffic signal system controls the order of urban vehicles, and its efficiency directly affects the development of the social economy. This paper takes the traffic signal control system at the intersection as the research object, an improved algorithm is introduced based on the deep deterministic policy gradient (DDPG), in which the feature enhancement and sample deduplication algorithms combined with the characteristics of the traffic environment are designed to improve the performance of the algorithm. By analyzing the operation of the actual traffic system, a traffic simulation platform for intersections is set up based on the SUMO simulation environment. The FEPG algorithm is used to control traffic signals to achieve efficient vehicle traffic. Experimental results show that the algorithm can effectively reduce vehicle waiting time and reduce vehicle emissions.