File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Identification of critical combination of vulnerable links in transportation networks – a global optimisation approach

TitleIdentification of critical combination of vulnerable links in transportation networks – a global optimisation approach
Authors
Keywordsglobal optimisation
MPEC
Resilience
transport network
vulnerability
Issue Date2016
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21
Citation
Transportmetrica A: Transport Science, 2016, v. 12 n. 4, p. 346-365 How to Cite?
AbstractThis paper presents a global optimisation framework for identifying the most critical combination of vulnerable links in a transportation network. The problem is formulated as a mixed-integer non-linear programme with equilibrium constraints, aiming to determine the combination of links whose deterioration would induce the most increase in total travel cost in the network. A global optimisation solution method applying a piecewise linearisation approach and range-reduction technique is developed to solve the model. From the numerical results, it is interesting and counterintuitive to note that the set of most vulnerable links when simultaneous multiple-link failure occurs is not simply the combination of the most vulnerable links with single-link failure, and the links in the critical combination of vulnerable links are not necessarily connected or even in the neighbourhood of each other. The numerical results also show that the ranking of vulnerable links will be significantly affected by certain input parameters.
Persistent Identifierhttp://hdl.handle.net/10722/226310
ISSN
2020 Impact Factor: 3.496
2020 SCImago Journal Rankings: 0.873
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, DZW-
dc.contributor.authorLiu, H-
dc.contributor.authorSzeto, WY-
dc.contributor.authorChow, AHF-
dc.date.accessioned2016-06-17T07:43:14Z-
dc.date.available2016-06-17T07:43:14Z-
dc.date.issued2016-
dc.identifier.citationTransportmetrica A: Transport Science, 2016, v. 12 n. 4, p. 346-365-
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/226310-
dc.description.abstractThis paper presents a global optimisation framework for identifying the most critical combination of vulnerable links in a transportation network. The problem is formulated as a mixed-integer non-linear programme with equilibrium constraints, aiming to determine the combination of links whose deterioration would induce the most increase in total travel cost in the network. A global optimisation solution method applying a piecewise linearisation approach and range-reduction technique is developed to solve the model. From the numerical results, it is interesting and counterintuitive to note that the set of most vulnerable links when simultaneous multiple-link failure occurs is not simply the combination of the most vulnerable links with single-link failure, and the links in the critical combination of vulnerable links are not necessarily connected or even in the neighbourhood of each other. The numerical results also show that the ranking of vulnerable links will be significantly affected by certain input parameters.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21-
dc.relation.ispartofTransportmetrica A: Transport Science-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 01 Feb 2016, available online: http://wwww.tandfonline.com/10.1080/23249935.2015.1137373-
dc.subjectglobal optimisation-
dc.subjectMPEC-
dc.subjectResilience-
dc.subjecttransport network-
dc.subjectvulnerability-
dc.titleIdentification of critical combination of vulnerable links in transportation networks – a global optimisation approach-
dc.typeArticle-
dc.identifier.emailSzeto, WY: ceszeto@hku.hk-
dc.identifier.authoritySzeto, WY=rp01377-
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2015.1137373-
dc.identifier.scopuseid_2-s2.0-84958748259-
dc.identifier.hkuros258118-
dc.identifier.volume12-
dc.identifier.issue4-
dc.identifier.spage346-
dc.identifier.epage365-
dc.identifier.isiWOS:000371244700004-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2324-9935-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats