基于Sarsa算法的交通信号灯控制方法

Traffic signal light control method based on Sarsa algorithm

针对现有交通信号灯控制技术无法针对复杂路况进行自适应调整,导致十字路口道路通行能力不足的问题,笔者提出一种基于强化学习sarsa算法的交通信号灯控制方法,并结合卷积神经网络对相关参数进行设置。实验结果表明,该方法能够针对实时路况自动调整信号灯控制策略,有效疏导交通流量。

Aiming at the problem that the existing traffic signal control technology cannot be adaptively adjusted to complex road conditions,resulting in insufficient traffic capacity at intersections,a traffic signal control method based on the reinforcement learning sarsa algorithm is proposed and combined with convolutional neural networks to perform related parameters Set up.The experimental results show that the method can automatically adjust the signal light control strategy according to the real-time road conditions and effectively divert the traffic flow.