针对城市环道交通信号控制问题，利用多智能体系统自主性、分布性、协调性、主动学习等特性，提出基于多智能体的环道交叉口绿波协调方法，将每个环道交叉口都看作一个智能体，相邻智能体间能够进行信息的互通交流，利用智能体系统记忆存储以及推理学习能力，对环道上的多个交叉口进行绿波协调优化，从算法模型与参数描述、协调方式的相位选择策略等角度对所提算法进行描述和推导，并通过实验仿真验证了所提的算法的有效性。

Aiming at the solution of urban ring road traffic signal control problem, this paper proposes a green wave coordination method for loop intersections based on multi-agent system's autonomy, distribution, coordination and active learning. Every intersections is regarded as an intelligent body and the adjacent agents can communicate and exchange information. Using the intelligent system memory storage and reasoning learning ability, the green wave coordination optimization of multiple intersections is performed on the loop. The algorithm is described and deduced from the perspective of algorithm model, parameter description and phase selection strategy under coordinated mode. The effectiveness of the proposed algorithm is verified by experimental simulation.

TP29

重庆市社会事业与民生保障科技创新资助项目（cstc2015shms-ztzx30001）。