城市交通区域智能协调控制研究

针对我国城市混合交通状态复杂多变，随机性大，具有分布式交通区域控制等特点，利用多智能体技术和融合技术对其进行研究，提出了基于多智能体技术和融合技术的城市交通区域控制系统框架和智能体的内部结构，并采用博弈再励学习方法进行优化控制和区域协调，实现城市交通控制区域智能协调和全局优化，最后通过仿真分析说明算法的有效性。

Urban Traffic Area-wide Intelligent Coordination Control

In this paper, according to such characteristics of urban mixed-traffic as complexity, changeability, random, and distributed area control, the urban traffic area-wide control is discussed by using multi-agent and information fusion technology. The framework and agent structure of urban traffic area-wide intelligent cooperative control system based on multi-agent and information fusion technology are presented. The urban traffic control model and intelligent coordination algorithm based on game theory reinforcement learning are also put forward. It realizes the intelligent coordination and optimization of whole control system. Finally, the validity of the algorithm is tested by simulation analysis.