ADVANCED DATA ANALYTICS AND MESOSCOPIC DYNAMIC TRAFFIC ASSIGNMENT SIMULATION FOR TRAFFIC IMPACT ANALYSIS OF MARYLAND CASINOS

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dc.contributor.advisorZhang, Leien_US
dc.contributor.authorDonaldson, Daviden_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2019-10-02T05:34:44Z
dc.date.available2019-10-02T05:34:44Z
dc.date.issued2019en_US
dc.description.abstractThree full-service casinos recently opened in Maryland: Live! Casino at the Arundel Mills Mall (June 2012), Horseshoe in Downtown Baltimore (August 2014), and MGM at the National Harbor (December 2016). The increased travel demand associated with such large entertainment complexes prompted an effort to quantify each facility’s impact on regional and local traffic patterns; therefore, a three-pronged analysis was conducted. First, historic vehicle probe data were analyzed to quantify and visualize the observed, local traffic impact for selected months before and after each casino became operational. Subsequently, an open-source mesoscopic DTA simulator named DTALite modeled the regional impact of the before/after scenarios as well as a special event scenario (e.g. Baltimore Ravens’ football game). The paper’s final component explored two innovative trip generation estimation methods to supplement the ITE Manual’s data limitation for casinos by utilizing aggregated mobile device trip data and an origin-demand adjustment system imbedded within DTALite. Ultimately, the data analytics and simulation-based modeling revealed no major traffic impact was generated by any casino. Moreover, upon comparison with ground truth count data, the origin-demand estimation technique out-performed both the ITE-based and location-based trip estimation methods.en_US
dc.identifierhttps://doi.org/10.13016/aicv-ccfu
dc.identifier.urihttp://hdl.handle.net/1903/25199
dc.language.isoenen_US
dc.subject.pqcontrolledCivil engineeringen_US
dc.subject.pquncontrolledCasinoen_US
dc.subject.pquncontrolledDynamic Traffic Assignmenten_US
dc.subject.pquncontrolledSimulation Modelingen_US
dc.subject.pquncontrolledTraffic Analysisen_US
dc.subject.pquncontrolledTrip Generationen_US
dc.titleADVANCED DATA ANALYTICS AND MESOSCOPIC DYNAMIC TRAFFIC ASSIGNMENT SIMULATION FOR TRAFFIC IMPACT ANALYSIS OF MARYLAND CASINOSen_US
dc.typeThesisen_US

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