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Article: Estimation of a time-dependent origin-destination matrix for congested highway networks

TitleEstimation of a time-dependent origin-destination matrix for congested highway networks
Authors
KeywordsAlgorithms
Highway traffic control
Iterative methods
Numerical methods
Optimal control systems
Issue Date2006
PublisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://www.advanced-transport.com
Citation
Journal of Advanced Transportation, 2006, v. 40 n. 1, p. 95-117 How to Cite?
AbstractThis paper presents a time-dependent origin-destination (O-D) matrix estimation procedure embedded with a dynamic traffic assignment model, in which the predictive dynamic user optimal conditions in congested networks are maintained. Two solution algorithms are proposed, namely: an iterative (ITR) scheme and a method of successive averages (MSA) scheme. It is found that the MSA scheme outperforms the ITR scheme. As a prior O-D matrix is an important input for the problem, its quality is essential for the reliability of the matrix estimation procedure. Empirical constraints are set in relation to the quality of the prior O-D matrix for the estimation procedure. Numerical examples are used to demonstrate the effectiveness of the proposed methodology.
Persistent Identifierhttp://hdl.handle.net/10722/71808
ISSN
2015 Impact Factor: 1.292
2015 SCImago Journal Rankings: 0.911
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, WMen_HK
dc.contributor.authorWong, SCen_HK
dc.contributor.authorTong, COen_HK
dc.date.accessioned2010-09-06T06:35:21Z-
dc.date.available2010-09-06T06:35:21Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal of Advanced Transportation, 2006, v. 40 n. 1, p. 95-117en_HK
dc.identifier.issn0197-6729en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71808-
dc.description.abstractThis paper presents a time-dependent origin-destination (O-D) matrix estimation procedure embedded with a dynamic traffic assignment model, in which the predictive dynamic user optimal conditions in congested networks are maintained. Two solution algorithms are proposed, namely: an iterative (ITR) scheme and a method of successive averages (MSA) scheme. It is found that the MSA scheme outperforms the ITR scheme. As a prior O-D matrix is an important input for the problem, its quality is essential for the reliability of the matrix estimation procedure. Empirical constraints are set in relation to the quality of the prior O-D matrix for the estimation procedure. Numerical examples are used to demonstrate the effectiveness of the proposed methodology.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://www.advanced-transport.comen_HK
dc.relation.ispartofJournal of Advanced Transportationen_HK
dc.rightsJournal of Advanced Transportation. Copyright © John Wiley & Sons, Inc..-
dc.subjectAlgorithms-
dc.subjectHighway traffic control-
dc.subjectIterative methods-
dc.subjectNumerical methods-
dc.subjectOptimal control systems-
dc.titleEstimation of a time-dependent origin-destination matrix for congested highway networksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0197-6729&volume=40&spage=95&epage=117&date=2006&atitle=Estimation+of+a+time-dependent+origin-destination+matrix+for+congested+highway+networksen_HK
dc.identifier.emailWong, SC: hhecwsc@hku.hken_HK
dc.identifier.emailTong, CO: cotong@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.identifier.authorityTong, CO=rp00178en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1002/atr.5670400106-
dc.identifier.scopuseid_2-s2.0-29544441928en_HK
dc.identifier.hkuros112512en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-29544441928&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume40en_HK
dc.identifier.issue1en_HK
dc.identifier.spage95en_HK
dc.identifier.epage117en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridTong, CO=7202715087en_HK
dc.identifier.scopusauthoridWang, SC=24323361400en_HK
dc.identifier.scopusauthoridCheung, WM=7202743069en_HK

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