基于聚类分析方法的公交站点客流匹配方法研究  

Bus Station Passenger Matching Method Based on Cluster Analysis Method

作　　者：尹长勇[1] 陈艳艳[1] 陈绍辉[1] 

机构地区：[1]北京工业大学交通工程系,北京100124

出　　处：《交通信息与安全》2010年第3期21-24,共4页Journal of Transport Information and Safety

基　　金："十一五"国家科技支撑计划项目(批准号:2006BAJ18B04-05)资助

摘　　要：对公交IC卡数据收集、处理和分析得到的结果可以为公交客流分析提供重要依据。文中针对一票制IC卡数据信息不完善的缺陷,结合公交其他运营信息,利用聚类分析方法,研究基于公交IC卡数据的匹配技术,并给出应用于匹配技术的实例计算结果。结果表明,提出的方法有很强的实用性,为得到准确、实时且连续的公交客流信息提供良好的平台。The result obtained from the collection,processing and the analysis of public transportation IC card technology may provide an important basis for bus passenger flow analysis.In order to solve the imperfect defect of one-ticket IC card technology system,matching technology of the public transportation IC card technology is advanced by considering other public transport information and utilizing the cluster analysis method.Finally,matched result will also be given in this paper.The proposed technology has a high practicability,which provides a great platform for obtaining accurate,real-time,and continual passenger flow information of public transit.

关 键 词：公共交通 IC卡 聚类分析 站点匹配 

分 类 号：TP392[自动化与计算机技术—计算机应用技术] U121[自动化与计算机技术—计算机科学与技术]