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基于关键路口的动态交通子区划分 被引量:6

Research on the dynamic traffic zoning based on the key junctions
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摘要 为了提高城市交通系统的控制效率,本文就路网子区的动态划分进行了研究。首先根据距离原则对路网中路口进行初划分,其次分析引入关键路口对子区划分以及路网控制效率的重要性,并给出静态以及动态两类关键路口的确定方法.最后在初划分的基础上,依据路口与关键路口之间周期相似度以及距离原则确定二者之间的关联度,根据关联度确定隶属关系,从而完成对路网的动态交通子区划分。 In order to improve the efficiency of traffic control system, the paper studies about the dynamic division of sub-zone in road network. First of all, this paper carries out early division according to the distance principle, and then, analyses the advantages of the introduction of key junctions to the traffic zoning and control of the road network. And this paper gives the method of identify the static and dynamic key junctions. Finally, on the basis of the early division, the degree of association between one junction and key intersection is determined by the similarity of cycles between these two junctions and the distance basis, using the affiliation that calculated to the associate degree of association between one junction and key intersection that determined by the similarity of cycles between these two junctions and the distance basis, thus completing the dynamic traffic zoning of the road network.
出处 《计算机与应用化学》 CAS CSCD 北大核心 2012年第10期1241-1244,共4页 Computers and Applied Chemistry
基金 国家自然科学基金资助项目(61174174) 系统控制与信息处理教育部重点实验室开放课题(SCIP2011007)
关键词 关键路口 初划分 周期相似度 距离原则 关联度 critical junction, early division, cycle similarity, distance basis, degree of association
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参考文献6

  • 1Yin H Y and Xu L Q. Research on the dynamic traffic zoning base on the HPP//2008 4th International Conference on Wireless Communications Networking and Mobile Computing, 10.1109 /WiCom.2008.2989:l-4.
  • 2Li C G, Xie Y, Zhang H L and Yan X L. Dynamic division about traffic control sub-area based on back propagation neural network//2010 Second /nternational Conference on Intelligent Human-Machine Systems and Cybernetics, 2010, 10.1109/ IHMSC.2010.104:22-25.
  • 3Wang L, Yan P Z, Li Y H and Li Z X. Signal sub-control-area division of traffic complex network based on nodes importance assessment. Control Conference (CCC), 2011:5606-5609.
  • 4杨晓光,黄玮,马万经.过饱和状态下交通控制小区动态划分方法[J].同济大学学报(自然科学版),2010,38(10):1450-1457. 被引量:19
  • 5谢颖,李春贵,闫向磊,张宏磊.基于模糊神经网络交通控制子区动态划分[J].广西工学院学报,2011,22(1):82-86. 被引量:3
  • 6李瑞敏,陆化普,史其信.交通信号控制子区模糊动态划分方法研究[J].武汉理工大学学报(交通科学与工程版),2008,32(3):381-384. 被引量:24

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