基于Q-学习的交通信号控制方法

为了减少车辆通过路口时的延误,采用Q-学习方法对智能体控制的单路口进行信号配时的优化,在模糊控制规则集的基础上,通过Q-学习来改进控制规则的组合,从而达到改善信号控制效果的目的.仿真实验的结果表明,基于Q-学习的信号控制方法优于定时控制、感应式控制和基于遗传算法的信号控制方法.研究说明,基于Q-学习的信号控制方法适合城市交通控制.

A Traffic Signal Control Method Based on Q-Learning

In order to reduce the delay of vehicles passing intersection,we optimize the signal timing of agent controlled intersection by Q-Learning method.On the basis of fuzzy rule set for signal control,we improve the effect of signal control through optimizing the combination of control rules with Q-Learning.The result of simulation illustrates that the signal control method based on Q-Learning is better than fixed-time control,actuated control and signal control based on genetic algorithms.The result of this research indicates that the signal control method based on Q-Learning adapt to the urban traffic control.