一种基于agent协调的两路口交通控制方法

Agent-based traffic coordination control method for two adjacent intersections

智能体(agent)技术是近年分布式人工智能领域的研究热点,文章将其应用到城市交通信号控制领域中.在以Q-学习方法实现单路口信号控制的基础上,采用对策论与社会规则相结合的方法实现了两个路口控制agent(TSCA)间的协调问题.通过在仿真环境下的对比,证明采用该协调方法是有效的.

Agent technique constitutes a focus of distributed artificial intelligence (DAI). In this paper, this technique is applied to urban traffic control. Based on the single traffic signal control agent with Q_learning, the method combining game theory and social rule is applied to solve the coordination between two TSCAs. By comparing the method with and without coordination of two crosses in simulative environment, the result indicates that the coordination method used in this paper is effective.