首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多智能体的城市交通区域协调控制方法
引用本文:黄艳国,罗强,许伦辉.基于多智能体的城市交通区域协调控制方法[J].武汉理工大学学报(交通科学与工程版),2010,34(2):409-412.
作者姓名:黄艳国  罗强  许伦辉
作者单位:1. 江西理工大学机电工程学院,赣州,341000;华南理工大学土木与交通学院,广州,510640
2. 华南理工大学土木与交通学院,广州,510640
3. 江西理工大学机电工程学院,赣州,341000
基金项目:国家自然科学基金资助项目(批准号:60664001);;江西省教育厅科技项目(批准号:GJJ10481)资助
摘    要:在分析城市道路交通信号控制特点的基础上,提出了基于多智能体的城市道路区域协调控制方法.在单路口Agent中引入加强学习方法,实现交通信号实时在线调整;在由多交叉口构成的区域路网中,以车辆平均延误为目标,通过多路口Agent之间的协调机制,实现城市交通区域信号控制的智能协调和全局优化,提高整个区域交通的效率,减少车辆的延误.通过仿真实验,与定时控制和感应控制相比,该方法使车辆的平均延误明显减小.

关 键 词:交通信号控制  协调控制  多智能体  加强学习  

An Approach to Urban Road Traffic Signal Coordination Control Based on Multi-Agent System
Huang Yanguo,Luo Qiang,Xu Lunhui.An Approach to Urban Road Traffic Signal Coordination Control Based on Multi-Agent System[J].journal of wuhan university of technology(transportation science&engineering),2010,34(2):409-412.
Authors:Huang Yanguo  Luo Qiang  Xu Lunhui
Institution:School of Mechanical and Electronic Engineering/a>;Jiangxi University of Science&Technology/a>;Ganzhou 341000/a>;China;School of Civil and Transportation/a>;South China University of Technology/a>;Guangzhou 510640/a>;China
Abstract:The characteristic of traffic signal control system is analysed,and an urban road traffic area-wide coordination control method based on Multi-Agent technology is proposed in this paper.The reinforcement learning is introduced in the agent model of single traffic intersection,and the time of green light can be adjusted dynamically on line.In the road network of multiple intersections,the average delay of vehicles is employed as objective function in Multi-Agent control system,and the intelligent coordinatio...
Keywords:traffic signal control  coordination control  Multi-Agent  reinforcement learning  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号