Proposal for Selecting a Cooperation Partner in Distributed Control of Traffic Signals using Deep Reinforcement Learning

Abstract

Traffic signal control is one way to alleviate traffic congestion on road networks. The main method of traffic signal control is a distributed control method in which signals cooperate locally. In this study, to realize more effective control in the distributed control system, we propose a guideline for selecting the cooperation partner of each traffic signal and verify its effectiveness. In this study, the traffic signal is controlled by applying deep reinforcement learning, which is a machine-learning algorithm.