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dc.contributor.advisorSchonfeld, Paulen_US
dc.contributor.authorLiu, Shiyien_US
dc.date.accessioned2019-06-20T05:43:33Z
dc.date.available2019-06-20T05:43:33Z
dc.date.issued2019en_US
dc.identifierhttps://doi.org/10.13016/2mnv-pugz
dc.identifier.urihttp://hdl.handle.net/1903/22055
dc.description.abstractThe advent of driverless vehicles, including automobiles and buses, may considerably affect the competitiveness and ridership of public transportation services in negative as well as positive ways. Since driverless vehicles may be widely used in the fairly near future, public transit operators and transportation planners should prepare to deal with their anticipated effects. In this thesis the author (1) formulate modular optimization models for both human-driven and automated bus services with fixed routes as well as flexible routes, (2) develop preliminary quantitative assessments of those effects, showing that without drivers, competitiveness of public transportation compared to private transportation decreases; (3) conduct sensitivity analyses to explore how changes in input parameters affect the results; and (4) identify insights in which transit operators, transportation planners and other transportation system stakeholders may use in effectively adapting to the introduction of driverless vehicles.en_US
dc.language.isoenen_US
dc.titleEFFECTS OF DRIVERLESS VEHICLES ON THE COMPETITIVENESS OF BUS TRANSIT SERVICESen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentCivil Engineeringen_US
dc.subject.pqcontrolledTranslation studiesen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pquncontrolledAnalytical Modelingen_US
dc.subject.pquncontrolledAutomated Vehicleen_US


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