摘要
在分析多智能体特性的基础上,提出了基于多智能体的城市道路交通控制系统,并采用遗传再励学习和博弈论方法进行优化控制和区域协调,最后通过仿真分析说明了算法的有效性。
On the basis of an analysis of multi-agent system behavior, an urban road traffic control system based on the multi-agent system was proposed, and optimization control and area-wide coordination were done by the genetic reinforcement learning and game theory. The availability was verified through simulations.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2006年第1期113-118,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金资助项目(60474068)
吉林大学'985工程'资助项目
教育部'973'预研项目
关键词
交通运输系统工程
城市交通控制
多智能体
再励学习
博弈论
区域协调
traffic transportation system engineering
urban traffic control
multi-agent system
reinforcement learning
game theory
area-wide coordination
