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Article: Estimation of multiclass origin-destination matrices from traffic counts

TitleEstimation of multiclass origin-destination matrices from traffic counts
Authors
KeywordsHighway Management
Traffic Analysis
Traffic Assignment
Traffic Congestion
Transportation Models
Transportation Planning
Issue Date2005
PublisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/up.html
Citation
Journal of Urban Planning and Development, 2005, v. 131 n. 1, p. 19-29 How to Cite?
AbstractThis paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network. Journal of Urban Planning and Development © ASCE.
Persistent Identifierhttp://hdl.handle.net/10722/150278
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.506
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SCen_US
dc.contributor.authorTong, COen_US
dc.contributor.authorWong, KIen_US
dc.contributor.authorLam, WHKen_US
dc.contributor.authorLo, HKen_US
dc.contributor.authorYang, Hen_US
dc.contributor.authorLo, HPen_US
dc.date.accessioned2012-06-26T06:02:58Z-
dc.date.available2012-06-26T06:02:58Z-
dc.date.issued2005en_US
dc.identifier.citationJournal of Urban Planning and Development, 2005, v. 131 n. 1, p. 19-29en_US
dc.identifier.issn0733-9488en_US
dc.identifier.urihttp://hdl.handle.net/10722/150278-
dc.description.abstractThis paper presents a procedure for the estimation of multiclass origin-destination (O-D) matrices for a highway network. The system consists of a number of vehicle classes. Demand is assigned to the network in a user equilibrium manner. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all vehicle classes, which are consistent with the multiclass traffic counts that are observed directly in the network. A case study of the Hong Kong highway network demonstrates the effectiveness of the proposed methodology for a real large-scale network. Journal of Urban Planning and Development © ASCE.en_US
dc.languageengen_US
dc.publisherAmerican Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/up.htmlen_US
dc.relation.ispartofJournal of Urban Planning and Developmenten_US
dc.rightsJournal of Urban Planning and Development. Copyright © American Society of Civil Engineers.-
dc.subjectHighway Managementen_US
dc.subjectTraffic Analysisen_US
dc.subjectTraffic Assignmenten_US
dc.subjectTraffic Congestionen_US
dc.subjectTransportation Modelsen_US
dc.subjectTransportation Planningen_US
dc.titleEstimation of multiclass origin-destination matrices from traffic countsen_US
dc.typeArticleen_US
dc.identifier.emailWong, SC: hhecwsc@hku.hken_US
dc.identifier.emailTong, CO: cotong@hku.hken_US
dc.identifier.emailWong, KI: kiwong@hkusua.hku.hk-
dc.identifier.emailLam, WHK: cehklam@polyu.edu.hk-
dc.identifier.emailLo, HK: cehklo@ust.hk-
dc.identifier.emailYang, H: cehyang@ust.hk-
dc.identifier.emailLo, HP: mshplo@cityu.edu.hk-
dc.identifier.authorityWong, SC=rp00191en_US
dc.identifier.authorityTong, CO=rp00178en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1061/(ASCE)0733-9488(2005)131:1(19)en_US
dc.identifier.scopuseid_2-s2.0-14644430419en_US
dc.identifier.hkuros97456-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14644430419&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume131en_US
dc.identifier.issue1en_US
dc.identifier.spage19en_US
dc.identifier.epage29en_US
dc.identifier.isiWOS:000227148800003-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridWong, SC=24323361400en_US
dc.identifier.scopusauthoridTong, CO=7202715087en_US
dc.identifier.scopusauthoridWong, KI=7404760031en_US
dc.identifier.scopusauthoridLam, WHK=7203022024en_US
dc.identifier.scopusauthoridLo, HK=7202085473en_US
dc.identifier.scopusauthoridYang, H=7406556890en_US
dc.identifier.scopusauthoridLo, HP=55127054700en_US
dc.identifier.issnl0733-9488-

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