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dc.contributor.advisorSong, Sejun
dc.contributor.authorSankarasetty, Avinash
dc.date.issued2018
dc.date.submitted2018 Fall
dc.descriptionTitle from PDF of title page viewed January 31, 2019
dc.descriptionThesis advisor: Sejun Song
dc.descriptionVita
dc.descriptionIncludes bibliographical references (41-43)
dc.descriptionThesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2018
dc.description.abstractHere is my abstract – Smart mobility is an essential element in building smart cities. To realize connected and automated smart mobility as a service, the capability to efficiently estimate the travel-time reliability measures responding to various operating conditions is of critical importance. My research topic mostly focuses on a travel-time reliability estimation system, which is applied to determine the effects of the operational changes on the travel-time reliability. The application results to the metro freeway net work in Minnesota indicate the substantial improvements in travel-time reliability after the changes were introduced, indicating the possibility of modeling the causal relation ship between reliability and specific operational strategies.eng
dc.description.tableofcontentsIntroduction -- Background -- Time-travel reliability estimation system architecture -- Case studies -- Conclusion
dc.format.extentix, 44 pages
dc.identifier.urihttps://hdl.handle.net/10355/67040
dc.publisherUniversity of Missouri -- Kansas Cityeng
dc.subject.lcshTravel time (Traffic engineering)
dc.subject.lcshMinneapolis Metropolitan Area (Minn.) -- Transportation
dc.subject.lcshTraffic engineering
dc.subject.otherThesis -- University of Missouri--Kansas City -- Computer science
dc.titleToward smart Mobility by Enhancing Travel-Time Reliabilityeng
dc.typeThesiseng
thesis.degree.disciplineComputer Science (UMKC)
thesis.degree.grantorUniversity of Missouri--Kansas City
thesis.degree.levelMasters
thesis.degree.nameM.S.


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