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dc.contributor.advisorSun, Carloseng
dc.contributor.advisorEdara, Praveeneng
dc.contributor.authorHou, Yieng
dc.date.issued2014eng
dc.date.submitted2014 Falleng
dc.identifier.urihttps://hdl.handle.net/10355/45749
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.source.originalSubmitted by the University of Missouri--Columbia Graduate Schooleng
dc.subject.FASTArtificial intelligence -- Engineering applicationseng
dc.subject.FASTTransportation demand managementeng
dc.subject.FASTTraffic flow -- Forecastingeng
dc.titleArtificial intelligence techniques for modeling dynamic traffic behavior at bottleneckseng
dc.typeThesiseng
thesis.degree.disciplineCivil engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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