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dc.contributor.advisorNigel H.M. Wilson and Haris N. Koutsopoulos.en_US
dc.contributor.authorZhu, Yiwen, S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.date.accessioned2014-09-19T21:38:15Z
dc.date.available2014-09-19T21:38:15Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/90075
dc.descriptionThesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 109-113).en_US
dc.description.abstractThis thesis aims at developing a methodology for assigning passengers to individual trains using: (i) fare transaction records from Automatic Fare Collection (AFC) system and (ii) the train tracking data from Automatic Train Regulation (ATR) system. The proposed Passenger-to-Train Assignment Model (PTAM) can provide a better understanding of capacity utilization and help assess the service quality in underground rail systems. PTAM is a probabilistic model that links each fare transaction to one (or multiple) feasible train itineraries. Key inputs to the model include the passenger walking speed distribution at stations. The thesis also develops methods to infer the parameters of the speed distribution using AFC and ATR data, while prior methods used either manually collected observations or statistically biased estimates. PTAM is applied in the context of Hong Kong's Mass Transit Railway (MTR) system and a series of applications are developed using PTAM output to assess the capacity utilization of the network, including trainload estimation, crowding assessment at stations, and animation of passenger movements in a playback mode.en_US
dc.description.statementofresponsibilityby Yiwen Zhu.en_US
dc.format.extent113 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titlePassenger-to-train assignment model based on automated dataen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Transportationen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.identifier.oclc890141778en_US


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