摘要
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。
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.
出处
《交通与计算机》
2005年第4期17-20,共4页
Computer and Communications
基金
国家自然科学基金资助项目(批准号:60474068)
关键词
城市交通
区域控制
多智能体技术
智能协调算法
再励学习
博弈论
urban traffic
area-wide control
multi-agent technology
intelligent coordination algorithm
reinforcement learning
game theory
