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Article: A cell-based model for multi-class doubly stochastic dynamic traffic assignment

TitleA cell-based model for multi-class doubly stochastic dynamic traffic assignment
Authors
KeywordsAveraging method
Cell transmission model
Computation time
Doubly stochastic
Dynamic traffic assignments
Issue Date2011
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=1093-9687
Citation
Computer-Aided Civil And Infrastructure Engineering, 2011, v. 26 n. 8, p. 595-611 How to Cite?
AbstractThis article proposes a cell-based multi-class dynamic traffic assignment problem that considers the random evolution of traffic states. Travelers are assumed to select routes based on perceived effective travel time, where effective travel time is the sum of mean travel time and safety margin. The proposed problem is formulated as a fixed point problem, which includes a Monte-Carlo-based stochastic cell transmission model to capture the effect of physical queues and the random evolution of traffic states during flow propagation. The fixed point problem is solved by the self-regulated averaging method. The results illustrate the properties of the problem and the effectiveness of the solution method. The key findings include the following: (1) Reducing perception errors on traffic conditions may not be able to reduce the uncertainty of estimating system performance, (2) Using the self-regulated averaging method can give a much faster rate of convergence in most test cases compared with using the method of successive averages, (3) The combination of the values of the step size parameters highly affects the speed of convergence, (4) A higher demand, a better information quality, or a higher degree of the risk aversion of drivers can lead to a higher computation time, (5) More driver classes do not necessarily result in a longer computation time, and (6) Computation time can be significantly reduced by using small sample sizes in the early stage of solution processes. © 2011Computer-Aided Civil and Infrastructure Engineering.
Persistent Identifierhttp://hdl.handle.net/10722/135061
ISSN
2015 Impact Factor: 5.288
2015 SCImago Journal Rankings: 0.901
ISI Accession Number ID
Funding AgencyGrant Number
University Research Committee of the University of Hong Kong201001159008
Hui Oi Chow Trust200902172003
Research Grants Council of the Hong Kong Special Administration RegionPolyU 5271/08E
Funding Information:

This research is jointly sponsored by the project funded by the University Research Committee of the University of Hong Kong under the grant No. 201001159008, the project funded by the Hui Oi Chow Trust Fund under the grant No. 200902172003, and the project supported by the Research Grants Council of the Hong Kong Special Administration Region under grant project No. PolyU 5271/08E. The authors are grateful to the three anonymous referees for their constructive comments. Special thanks should also go to the Performance Measurement System (PeMS) which provides the traffic flow data.

References

 

DC FieldValueLanguage
dc.contributor.authorSzeto, WYen_HK
dc.contributor.authorJiang, Yen_HK
dc.contributor.authorSumalee, Aen_HK
dc.date.accessioned2011-07-27T01:27:24Z-
dc.date.available2011-07-27T01:27:24Z-
dc.date.issued2011en_HK
dc.identifier.citationComputer-Aided Civil And Infrastructure Engineering, 2011, v. 26 n. 8, p. 595-611en_HK
dc.identifier.issn1093-9687en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135061-
dc.description.abstractThis article proposes a cell-based multi-class dynamic traffic assignment problem that considers the random evolution of traffic states. Travelers are assumed to select routes based on perceived effective travel time, where effective travel time is the sum of mean travel time and safety margin. The proposed problem is formulated as a fixed point problem, which includes a Monte-Carlo-based stochastic cell transmission model to capture the effect of physical queues and the random evolution of traffic states during flow propagation. The fixed point problem is solved by the self-regulated averaging method. The results illustrate the properties of the problem and the effectiveness of the solution method. The key findings include the following: (1) Reducing perception errors on traffic conditions may not be able to reduce the uncertainty of estimating system performance, (2) Using the self-regulated averaging method can give a much faster rate of convergence in most test cases compared with using the method of successive averages, (3) The combination of the values of the step size parameters highly affects the speed of convergence, (4) A higher demand, a better information quality, or a higher degree of the risk aversion of drivers can lead to a higher computation time, (5) More driver classes do not necessarily result in a longer computation time, and (6) Computation time can be significantly reduced by using small sample sizes in the early stage of solution processes. © 2011Computer-Aided Civil and Infrastructure Engineering.en_HK
dc.languageengen_US
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=1093-9687en_HK
dc.relation.ispartofComputer-Aided Civil and Infrastructure Engineeringen_HK
dc.rightsThe definitive version is available at www3.interscience.wiley.com-
dc.subjectAveraging method-
dc.subjectCell transmission model-
dc.subjectComputation time-
dc.subjectDoubly stochastic-
dc.subjectDynamic traffic assignments-
dc.titleA cell-based model for multi-class doubly stochastic dynamic traffic assignmenten_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1093-9687&volume=26&issue=8&spage=595&epage=611&date=2011&atitle=A+cell-based+model+for+multi-class+doubly+stochastic+dynamic+traffic+assignment-
dc.identifier.emailSzeto, WY:ceszeto@hku.hken_HK
dc.identifier.authoritySzeto, WY=rp01377en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1111/j.1467-8667.2011.00717.xen_HK
dc.identifier.scopuseid_2-s2.0-80052915263en_HK
dc.identifier.hkuros196756en_US
dc.identifier.hkuros188216en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052915263&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue8en_HK
dc.identifier.spage595en_HK
dc.identifier.epage611en_HK
dc.identifier.isiWOS:000295077800002-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSzeto, WY=7003652508en_HK
dc.identifier.scopusauthoridJiang, Y=53363621900en_HK
dc.identifier.scopusauthoridSumalee, A=14326110000en_HK

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