期刊文献+

基于多学科设计优化的路网交通分布式协同控制 被引量:4

Distributed cooperative control of road network traffic based on multidisciplinary design optimization
原文传递
导出
摘要 城市路网交通控制直接影响着交通运行效率,对其优化研究已成为缓解城市交通拥堵问题的热点之一.鉴于此,针对高峰交通路网将其分为过饱和区域与过饱和关联区域,在采用灰色关联分析-谱聚类方法对关联区域划分的基础上,构建路网交通分布式协同控制模型,进一步提出基于多学科设计优化的过饱和区域及其关联区域协同优化求解方法.通过搭建实例路网模型分析算法优化效果,结果表明所提出方法能够明显改善路网交通运行效率,有助于缓解城市通勤高峰时段的交通拥堵和扩散问题. Traffic control of urban road networks has a direct impact on the efficiency of traffic operation, and its optimization research has become one of the hotspots to solve the problem of urban traffic jam. In this paper, the peak traffic network is divided into oversaturated region and its associated areas, and the grey relational analysis and spectral clustering method are used to divide the associated areas. Then, a distributed traffic cooperative control model is proposed. Furthermore, a cooperative optimization solution of over-saturated region and its associated areas based on multidisciplinary design optimization is proposed. The optimization results of the algorithm are analyzed by setting up an example network model. The results show that the proposed method can significantly improve the traffic efficiency of the road network, and help to alleviate the traffic congestion and proliferation during rush hour.
作者 唐少虎 刘小明 朱伟 郑建春 尚春琳 TANG Shao-hu;LIU Xiao-ming;ZHU Wei;ZHENG Jian-chun;SHANG Chun-lin(Beijing Research Center of Urban Systems Engineering,Beijing 100035,China;College of Urban Rail Transit and Logistics,Beijing Union University,Beijing 100101,China;Beijing Key Lab of Urban Road Traffic Intelligent Technology,North China University of Technology,Beijing 100144,China)
出处 《控制与决策》 EI CSCD 北大核心 2019年第9期1867-1875,共9页 Control and Decision
基金 中国博士后科学基金项目(2017M620673) 北京市自然科学基金项目(8184070) 北京市博士后工作经费资助项目(2017-22-078)
关键词 城市路网 过饱和交通控制 区域划分 分布式协同 多学科设计优化 urban road network over-saturated traffic control areas division distributed cooperative multidisciplinary design optimization
  • 相关文献

参考文献6

二级参考文献65

  • 1温广辉,王明旭,郭嗣琮.一种求解 TSP 问题的新型遗传编码方案[J].科学技术与工程,2006,6(2):206-208. 被引量:8
  • 2李志明,闫小勇.基于遗传算法的交通仿真模型参数校正方法研究[J].交通标准化,2006,34(4):21-23. 被引量:16
  • 3曾建勤,王家捷,唐良,方廷健.基于CTM-RH的城市交通信号线控制[J].中国科学技术大学学报,2006,36(11):1232-1236. 被引量:7
  • 4LANGDON P.A Better Place to Live:Reshaping the American Suburb[M].Massachusetts:University of Massachusetts Press,1997.
  • 5SADAYOSBI M,YUKINORI K.Self-organized control of traffic signals through genetic reinforcement learning[C] //Intelligent Vehicles '93 Symposium.Piscataway:IEEE,1993:113-118.
  • 6SADAYOSBI M,YUKINORI K.Genetic reinforcement learning for cooperative traffic signal control[C] //Proceedings of the First IEEE Conference on Evolutionary Computation.Piscataway:IEEE,1994,1:223-228.
  • 7Li M S,HAFAM J,PRYOR L,et al.A cooperative intelligent system for urban traffic problems[C] //Proceedings of the 1996 IEEE International Symposium on Intelligent Control.New York:IEEE,1996:162-167.
  • 8OU H T,ZHANG,W D,ZHANG W J,et al.Urban traffic multi-agent system based on rmm and bayesian leaming[C] //Proceedings of the American Control Conference.Danvers:American Autom Control Council,2000:2782-2783.
  • 9LIU X M,WANG F Y.Study of city area traffic coordination control on the basis of agent[C] //IEEE 5th International Conference on Intelligent Transportation Systems.Singapore:IEEE,2000:758-761.
  • 10CHEN R S,CHEN D K,LIN S Y.ACTAM:cooperative multi-agent system architecture for urban traffic signal control[C] //IEJCE Transactions an Information and System.Japan:Inst Electron Inf & Cornman Eng,2005,E88-D(1):119-126.

共引文献64

同被引文献55

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部