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- Publisher Website: 10.1080/01441647.2011.589539
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Article: Transport network design problem under uncertainty: a review and new developments
Title | Transport network design problem under uncertainty: a review and new developments |
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Authors | |
Keywords | Computer simulation Demand-side management Genetic algorithm Monte carlo analysis Network design |
Issue Date | 2011 |
Publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01441647.asp |
Citation | Transport Reviews, 2011, v. 31 n. 6, p. 743-768 How to Cite? |
Abstract | This paper aims to provide a state-of-the-art review of the transport network design problem (NDP) under uncertainty and to present some new developments on a bi-objective-reliable NDP (BORNDP) model that explicitly optimizes the capacity reliability and travel time reliability under demand uncertainty. Both are useful performance measures that can describe the supply-side reliability and demand-side reliability of a road network. A simulation-based multi-objective genetic algorithm solution procedure, which consists of a traffic assignment algorithm, a genetic algorithm, a Pareto filter, and a Monte-Carlo simulation, is developed to solve the proposed BORNDP model. A numerical example based on the capacity enhancement problem is presented to demonstrate the tradeoff between capacity reliability and travel time reliability in the NDP. © 2011 Copyright Taylor and Francis Group, LLC. |
Persistent Identifier | http://hdl.handle.net/10722/144522 |
ISSN | 2023 Impact Factor: 9.5 2023 SCImago Journal Rankings: 3.016 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, A | en_US |
dc.contributor.author | Zhou, Z | en_US |
dc.contributor.author | Chootinan, P | en_US |
dc.contributor.author | Ryu, S | en_US |
dc.contributor.author | Yang, C | en_US |
dc.contributor.author | Wong, SC | en_US |
dc.date.accessioned | 2012-02-03T06:12:13Z | - |
dc.date.available | 2012-02-03T06:12:13Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | Transport Reviews, 2011, v. 31 n. 6, p. 743-768 | en_US |
dc.identifier.issn | 0144-1647 | - |
dc.identifier.uri | http://hdl.handle.net/10722/144522 | - |
dc.description.abstract | This paper aims to provide a state-of-the-art review of the transport network design problem (NDP) under uncertainty and to present some new developments on a bi-objective-reliable NDP (BORNDP) model that explicitly optimizes the capacity reliability and travel time reliability under demand uncertainty. Both are useful performance measures that can describe the supply-side reliability and demand-side reliability of a road network. A simulation-based multi-objective genetic algorithm solution procedure, which consists of a traffic assignment algorithm, a genetic algorithm, a Pareto filter, and a Monte-Carlo simulation, is developed to solve the proposed BORNDP model. A numerical example based on the capacity enhancement problem is presented to demonstrate the tradeoff between capacity reliability and travel time reliability in the NDP. © 2011 Copyright Taylor and Francis Group, LLC. | - |
dc.language | eng | en_US |
dc.publisher | Routledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/01441647.asp | en_US |
dc.relation.ispartof | Transport Reviews | en_US |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Transport Reviews on 17 Aug 2011, available online at: http://www.tandfonline.com/doi/abs/10.1080/01441647.2011.589539 | - |
dc.subject | Computer simulation | - |
dc.subject | Demand-side management | - |
dc.subject | Genetic algorithm | - |
dc.subject | Monte carlo analysis | - |
dc.subject | Network design | - |
dc.title | Transport network design problem under uncertainty: a review and new developments | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chen, A: anthony.chen@usu.edu | en_US |
dc.identifier.email | Wong, SC: hhecwsc@hku.hk | - |
dc.identifier.authority | Wong, SC=rp00191 | en_US |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1080/01441647.2011.589539 | - |
dc.identifier.scopus | eid_2-s2.0-84863229216 | - |
dc.identifier.hkuros | 198212 | en_US |
dc.identifier.volume | 31 | en_US |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 743 | en_US |
dc.identifier.epage | 768 | en_US |
dc.identifier.isi | WOS:000299922300004 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0144-1647 | - |