关键词: 城市交通, 信号灯配时, 演化博弈模型, 复制者动态, 车辆平均延误

Abstract:

Aiming at the complex and random traffic flow at single intersection, this paper adopts the idea and the selection mechanism of evolutionary game theory to examine an new signal light control mechanism—An evolutionary game based optimization method on signal timing for single intersection (EGSTOA), which is made to minimize the mean delay of traffic flow. To evaluate the proposed method, the performance of this method is evaluated by the traffic simulation software VISSIM, thereafter, this study compares the control effects of this new approach with the fixedtime control method and the signal control based on the genetic algorithm. The simulation result illustrates that the EGSTOA method effectively reduces the mean delay of traffic flow and improves the effectiveness of signal control.

Key words: urban traffic, signal timing, evolutionary game theory model, replicator dynamics, mean delay of traffic flow 