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Article: A cell-based dynamic traffic assignment model: Formulation and properties

TitleA cell-based dynamic traffic assignment model: Formulation and properties
Authors
KeywordsDynamic traffic assignment
Nonlinear complementarity problem
Issue Date2002
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/mcm
Citation
Mathematical And Computer Modelling, 2002, v. 35 n. 7-8, p. 849-865 How to Cite?
AbstractThis paper developed a cell-based dynamic traffic assignment (DTA) formulation that follows the ideal dynamic user optimal (DUO) principle. Through defining an appropriate gap function, we transformed a formulation based on the nonlinear complementarity problem to an equivalent mathematical program. To improve the accuracy of dynamic traffic modelling, this formulation encapsulates a network version of the cell transmission model (CTM). We set up four scenarios to evaluate the properties of this formulation, in the aspects of traffic dynamics, traffic interactions across multiple links, and the ideal DUO principle. This formulation produced outputs that are in agreement with what the results ought to be. Namely, the formulation is able to capture dynamic traffic phenomena, such as shock-waves, queue formation, and dissipation. Moreover, it is capable of capturing dynamic traffic interactions across multiple links. Both of these characteristics are inherent from the underlying traffic model adopted in this formulation. The results also demonstrate that this cell-based formulation follows the ideal DUO principle. © 2002 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/91216
ISSN
2015 Impact Factor: 1.366
2015 SCImago Journal Rankings: 0.643
References

 

DC FieldValueLanguage
dc.contributor.authorLo, HKen_HK
dc.contributor.authorSzeto, WYen_HK
dc.date.accessioned2010-09-17T10:15:02Z-
dc.date.available2010-09-17T10:15:02Z-
dc.date.issued2002en_HK
dc.identifier.citationMathematical And Computer Modelling, 2002, v. 35 n. 7-8, p. 849-865en_HK
dc.identifier.issn0895-7177en_HK
dc.identifier.urihttp://hdl.handle.net/10722/91216-
dc.description.abstractThis paper developed a cell-based dynamic traffic assignment (DTA) formulation that follows the ideal dynamic user optimal (DUO) principle. Through defining an appropriate gap function, we transformed a formulation based on the nonlinear complementarity problem to an equivalent mathematical program. To improve the accuracy of dynamic traffic modelling, this formulation encapsulates a network version of the cell transmission model (CTM). We set up four scenarios to evaluate the properties of this formulation, in the aspects of traffic dynamics, traffic interactions across multiple links, and the ideal DUO principle. This formulation produced outputs that are in agreement with what the results ought to be. Namely, the formulation is able to capture dynamic traffic phenomena, such as shock-waves, queue formation, and dissipation. Moreover, it is capable of capturing dynamic traffic interactions across multiple links. Both of these characteristics are inherent from the underlying traffic model adopted in this formulation. The results also demonstrate that this cell-based formulation follows the ideal DUO principle. © 2002 Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/mcmen_HK
dc.relation.ispartofMathematical and Computer Modellingen_HK
dc.subjectDynamic traffic assignmenten_HK
dc.subjectNonlinear complementarity problemen_HK
dc.titleA cell-based dynamic traffic assignment model: Formulation and propertiesen_HK
dc.typeArticleen_HK
dc.identifier.emailSzeto, WY:ceszeto@hku.hken_HK
dc.identifier.authoritySzeto, WY=rp01377en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0037177281en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037177281&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue7-8en_HK
dc.identifier.spage849en_HK
dc.identifier.epage865en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLo, HK=7202085473en_HK
dc.identifier.scopusauthoridSzeto, WY=7003652508en_HK

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