Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-947X(2002)128:4(314)
DC FieldValue
dc.titleDynamic traffic assignment with rolling horizon implementation
dc.contributor.authorRan, B.
dc.contributor.authorLee, D.-H.
dc.contributor.authorShin, M.S.-I.
dc.date.accessioned2014-06-17T08:17:05Z
dc.date.available2014-06-17T08:17:05Z
dc.date.issued2002-07
dc.identifier.citationRan, B., Lee, D.-H., Shin, M.S.-I. (2002-07). Dynamic traffic assignment with rolling horizon implementation. Journal of Transportation Engineering 128 (4) : 314-322. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-947X(2002)128:4(314)
dc.identifier.issn0733947X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/65467
dc.description.abstractThis paper discusses an analytical dynamic traffic assignment (DTA) model with the extended capability of performing rolling horizon implementation. This model is formulated as a link-based variational inequality and can be solved efficiently to convergence by a relaxation (diagonalization) algorithm. The rolling horizon mechanism makes this proposed approach a flexible tool in evaluating simulation-based DTA models. According to different assumptions of travelers' route choice behavior, three different classes of travelers are categorized: fixed (predetermined) route class, stochastic dynamic user-optimal class. Model formulation, steps of the algorithm, and rolling horizon implementation are discussed in detail. Computational examples and results are presented and analyzed.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1061/(ASCE)0733-947X(2002)128:4(314)
dc.sourceScopus
dc.subjectModel analysis
dc.subjectTraffic assignment
dc.subjectTraffic models
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.description.doi10.1061/(ASCE)0733-947X(2002)128:4(314)
dc.description.sourcetitleJournal of Transportation Engineering
dc.description.volume128
dc.description.issue4
dc.description.page314-322
dc.identifier.isiut000176423200002
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