Approximation Dynamic Programming for multi-intersections traffic signal intelligent control

Traffic congestion is ubiquitous in the modern city, and optimizing the behavior of traffic lights for efficient traffic flow is a critically important goal. In this paper, an urban road traffic area-wide coordination control algorithm based on Approximation Dynamic Programming is proposed. The agent model of traffic intersections is demonstrated. The algorithm substantially reduces average vehicular delay by using an approximation to the value function of the dynamic programming to update the approximation, and can cooperative control of multiple intersections to achieve a near optimal control policy. The computer simulation results show that the control algorithm can effectively reduce the average delay time and play a very good control effect with multi-intersections, so the coordination method used in this paper is effective.