第42卷第3期重庆交通大学学报(自然科学版)Vol．42No．32023年3月JOUＲNALOFCHONGQINGJIAOTONGUNIVEＲSITY(NATUＲALSCIENCE)Mar．2023DOI:10．3969/j．issn．1674-0696．2023．03．18公交一票制乘客精细化分类研究李军，区静怡，赵文婷(中山大学智能工程学院，广东广州510006)摘要:构建了一种可应用于公交一票制下的乘客精细化分类方法。针对公交一票制仅有上车信息的特点，从乘车强度、时间特性、空间特性及高峰特性构建分类指标，并利用相关性分析进行指标筛选;然后应用Two-Step聚类对乘客进行聚类，将乘客分为清晰簇和非清晰簇，并对清晰簇和非清晰簇再次选取特征指标进行2次聚类以实现乘客的精细化分类。根据广州市的算例表明，该方法可以对乘客进行有效分类，每类结果对乘客的出行特征进行了细致地刻画，分类方法有效且稳定。关键词:交通工程;公交一票制;乘客分类;出行特征;组合聚类中图分类号:U121文献标志码:A文章编号:1674-0696(2023)03-128-07ＲefinedClassificationofTransitＲidersunderBusOne-TicketSystemLIJun，OUJingyi，ZHAOWenting(SchoolofIntelligentSystemsEngineering，SunYat-senUniversity，Guangzhou510006，Guangdong，China)Abstract:Arefinedclassificationmethodoftransitridersunderbusone-ticketsystemwasproposed．Firstly，duetothecharacteristicsofthebusone-ticketsystem，onlyboardinginformationisavailable．Thecharacteristicindexesoftheriders，namely，thetravelintensity，temporalindicators，spatialindicatorsandpeak-hourindicators，wereselectedastheindexesoftheclassification．Thecorrelationanalysiswasemployedtoscreenindicators．Then，Two-Stepclusteringwasusedtoclustertransitridersintoclearclustersandunclearclusters．Moreover，featureindicatorswereselectedagainforclearclustersandunclearclustersforsecondaryclusteringtoachievetherefinedclassificationofpassengers．Acasestudyonthetransitriders'dataoftheone-ticketbussysteminGuangzhoushowsthattheproposedmethodcaneffectivelyclassifypassengers，andtheresultsofeachclassdepictthetravelcharacteristicsofpassengersindetail．Theproposedclassificationmethodiseffectiveandstable．Keywords:trafficengineering;one-ticketbus;transitriderclassification;travelcharacteristics;combinatorialclustering0引言...
