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Article: A predictive continuum dynamic user-optimal model for a polycentric urban city

TitleA predictive continuum dynamic user-optimal model for a polycentric urban city
Authors
Issue Date2017
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20
Citation
Transportmetrica B: Transport Dynamics, 2017, v. 5 n. 3, p. 233-252 How to Cite?
AbstractA predictive continuum dynamic user-optimal model is extended to investigate the traffic equilibrium problem for a polycentric urban city with multiple central business districts (CBDs). The road network within the city is assumed to be dense and can be viewed as a continuum in which travellers can choose their routes in a two-dimensional space. Travellers are assumed to choose their route to minimise the actual total cost to the destination (i.e. the CBD). The model consists of two parts: the conservation law part and the Hamilton–Jacobi part. The finite volume method is used to solve each part on unstructured meshes. Because the two parts are closely interconnected and have different initial times, solving the model can be treated as a fixed-point problem, which is solved using a self-adaptive method of successive averages. Numerical experiments for an urban city with two CBDs are presented to demonstrate the effectiveness of the model and the numerical algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/242187
ISSN
2015 Impact Factor: 2.56
2015 SCImago Journal Rankings: 2.012

 

DC FieldValueLanguage
dc.contributor.authorLin, ZY-
dc.contributor.authorWong, SC-
dc.contributor.authorZhang, P-
dc.contributor.authorJiang, YQ-
dc.contributor.authorChoi, K-
dc.contributor.authorDu, YC-
dc.date.accessioned2017-07-24T01:36:30Z-
dc.date.available2017-07-24T01:36:30Z-
dc.date.issued2017-
dc.identifier.citationTransportmetrica B: Transport Dynamics, 2017, v. 5 n. 3, p. 233-252-
dc.identifier.issn2168-0566-
dc.identifier.urihttp://hdl.handle.net/10722/242187-
dc.description.abstractA predictive continuum dynamic user-optimal model is extended to investigate the traffic equilibrium problem for a polycentric urban city with multiple central business districts (CBDs). The road network within the city is assumed to be dense and can be viewed as a continuum in which travellers can choose their routes in a two-dimensional space. Travellers are assumed to choose their route to minimise the actual total cost to the destination (i.e. the CBD). The model consists of two parts: the conservation law part and the Hamilton–Jacobi part. The finite volume method is used to solve each part on unstructured meshes. Because the two parts are closely interconnected and have different initial times, solving the model can be treated as a fixed-point problem, which is solved using a self-adaptive method of successive averages. Numerical experiments for an urban city with two CBDs are presented to demonstrate the effectiveness of the model and the numerical algorithm.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttrb20-
dc.relation.ispartofTransportmetrica B: Transport Dynamics-
dc.rightsThis is an electronic version of an article published in Transportmetrica B: Transport Dynamics, 2017, v. 5 n. 3, p. 233-252. Transportmetrica B: Transport Dynamics is available online at: http://www.tandfonline.com/doi/full/10.1080/21680566.2016.1163297-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleA predictive continuum dynamic user-optimal model for a polycentric urban city-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1080/21680566.2016.1163297-
dc.identifier.hkuros273203-
dc.identifier.volume5-
dc.identifier.issue3-
dc.identifier.spage233-
dc.identifier.epage252-
dc.publisher.placeUnited Kingdom-

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