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dc.contributor.authorKumar, Anshuman Anjani
dc.date.accessioned2016-04-05T19:59:08Z
dc.date.available2016-04-05T19:59:08Z
dc.date.issued2015
dc.identifier.isbn9781339104010
dc.identifier.other1733693842
dc.identifier.urihttp://hdl.handle.net/10477/51569
dc.description.abstractThis thesis develops new methods to identify individual traveler's preferences and at the same time, infer \true" Origin-Destination (OD) locations based on incomplete route information of shared mobility system uses in a multimodal travel environment. Based on observations of traveler's route choices of a bike sharing system under various price setting, the devised method performs probabilistic reasoning to infer traveler's OD and preference. The Selective Set Expectation Maximization approach developed in this thesis is used to infer the unknown distribution of traveler preference vectors which are not mutually exclusive; treating the traveler's Origin-Destination as a latent variable. The unknown model parameters are found by maximizing the expected value of the log likelihood function with respect to the conditional distribution of the OD pairs under the observed bike segment usage in an iterative manner. The experimental results using simulation data demonstrate the accurate learning or inference of the true underlying distribution using the developed Selective Set Expectation Maximization algorithm and then inferring the true OD pairs using this learned distribution.
dc.languageEnglish
dc.sourceDissertations & Theses @ SUNY Buffalo,ProQuest Dissertations & Theses Global
dc.subjectPure sciences
dc.subjectSocial sciences
dc.subjectApplied sciences
dc.subjectExpectation maximization
dc.subjectMultimodal travel environment
dc.subjectOrigin-destination estimation
dc.subjectProbabilistic reasoning
dc.subjectTraveler preferences
dc.titleInferring OD-Pairs and Utility-Based Travel Preferences for Shared Mobility System Users in a Multi-Modal Environment
dc.typeDissertation/Thesis


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