Charlotte Airport Ground Transportation Simulation Project

dc.contributor.authorBilir, Canser
dc.date.accessioned2022-05-09T11:47:22Z
dc.date.available2022-05-09T11:47:22Z
dc.date.issued2018en_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.description01.08.2018 -30.06.2020.en_US
dc.description.abstractWith pleasure, I confirm that Canser Bilir has been engaged with us as a visiting research scholar for the 2018-2019 academic year. In this project, he has served as co-principal investigator in development of a discrete-event simulation model for strategic decision support at a major U.S. hub of the world’s largest airline. Built in Arena 14.7, the model is a process-oriented simulation with a geo-spatial dimension. Statistical models constructed from time-stamped microdata infuse systematic variation in simulation parameters and allow us to produce simulated performance that realistically depicts the stochastic behavior of this complex transportation system. This research thrust has received partial support for several years from the United States Department of Transportation under its University Transportation Centers program (grant number DTRT13-G-UTC37).en_US
dc.identifier.govdocDTRT13-G-UTC37
dc.identifier.orcidCanser Bilir |0000-0002-3615-5819en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12436/4006
dc.institutionauthorBilir, Canser
dc.language.isoen
dc.publisherUnited States Department of Transportation under its University Transportation Centers programen_US
dc.relation.publicationcategoryProjecten_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleCharlotte Airport Ground Transportation Simulation Projecten_US
dc.typeProject
dspace.entity.typeProject

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