Research on Adaptive Traffic Signal Control Algorithm for Intelligent Transportation

Abstract

Multi-intersection traffic signal control is the key to improve the overall traffic efficiency. In order to more realistically reflect the real-time traffic conditions at intersections, this paper first establishes a multi-phase real-time control model using the average delay time as the objective function, so as to obtain the cycle of each intersection with the green light time of each phase. Then the communication capability between multiple intelligences is utilized to coordinate the execution of their own timing schemes. Simulation experiments are run in Vissim platform to verify the effectiveness of the adaptive traffic signal control algorithm proposed in this paper. The results show that the adaptive traffic signal control algorithm proposed in this paper is significantly better than the fixed timing and traffic weight timing algorithms in three aspects, namely, queue length, vehicle waiting time and average vehicle speed. The average queue length, the average waiting time of vehicles on each road and the average speed of vehicles on each road are 4.12m, 4.67s and 29.17 km/h, respectively.