Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning
Shengchao Yan,Jingwei Zhang,Daniel Büscher,Wolfram Burgard,Shengchao Yan,Jingwei Zhang,Daniel Büscher,Wolfram Burgard
Traffic signal controllers play an essential role in today's traffic system. However, the majority of them currently is not sufficiently flexible or adaptive to generate optimal traffic schedules. In this paper we present an approach to learn policies for signal controllers using deep reinforcement learning aiming for optimized traffic flow. Our method uses a novel formulation of the reward functi...
