【摘要】 为了检测Q学习算法在信号控制方案中的效果,在Webster配时法的基础上,建立了适应交通信号控制及以车均延误最小为目标的奖惩函数,并详细说明了Q学习独立交叉口信号控制的原理和应用过程.通过流量波动大和小两个算例,验证了Q学习控制优于定时控制.更多还原

【Abstract】 The goal of the paper is to detect the effect of Q-learning method on traffic signal control.Based on Webster’s timing algorithm,a reward-penalty function adaptable to traffic signal control for the minimization of average delay is estabilished.It also illustrates the control theory and application process of Q-learning signal control in single intersection.From the two examples in large and small flow fluctuation,the author verified that Q-learning control is better than fixed-time control.更多还原