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Article: Reliable network design under supply uncertainty with probabilistic guarantees

TitleReliable network design under supply uncertainty with probabilistic guarantees
Authors
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. 6, p. 504-532 How to Cite?
AbstractThis paper proposes a bi-level risk-averse network design model for transportation networks with heterogeneous link travel time distributions. The objective of the network design is to minimise the total system travel time (TSTT) budget (TSTTB), which consists of the mean TSTT and a safety margin. The design is achieved by selecting optimal link capacity expansions subject to a fixed expansion budget. Users’ selfish behaviour and risk attitude are captured in the lower level traffic assignment constraints, in which travellers select routes to minimise their own path travel time budget. The properties of the design problem are analysed analytically and numerically. The analysis shows that despite the lack of knowledge of travel time distributions, the probabilities that the actual TSTT and the actual path travel time are, respectively, within the optimal TSTTB and the minimum path travel time budget under optimal design have lower bounds. The lower bounds are related to the system manager's and travellers’ risk aversion. The optimal TSTTB is proven to be bounded below even when the link expansion budget is unlimited.
Persistent Identifierhttp://hdl.handle.net/10722/226308
ISSN
2015 Impact Factor: 1.477
2015 SCImago Journal Rankings: 1.352

 

DC FieldValueLanguage
dc.contributor.authorSzeto, WY-
dc.contributor.authorWang, AB-
dc.date.accessioned2016-06-17T07:43:13Z-
dc.date.available2016-06-17T07:43:13Z-
dc.date.issued2016-
dc.identifier.citationTransportmetrica A: Transport Science, 2016, v. 12 n. 6, p. 504-532-
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/226308-
dc.description.abstractThis paper proposes a bi-level risk-averse network design model for transportation networks with heterogeneous link travel time distributions. The objective of the network design is to minimise the total system travel time (TSTT) budget (TSTTB), which consists of the mean TSTT and a safety margin. The design is achieved by selecting optimal link capacity expansions subject to a fixed expansion budget. Users’ selfish behaviour and risk attitude are captured in the lower level traffic assignment constraints, in which travellers select routes to minimise their own path travel time budget. The properties of the design problem are analysed analytically and numerically. The analysis shows that despite the lack of knowledge of travel time distributions, the probabilities that the actual TSTT and the actual path travel time are, respectively, within the optimal TSTTB and the minimum path travel time budget under optimal design have lower bounds. The lower bounds are related to the system manager's and travellers’ risk aversion. The optimal TSTTB is proven to be bounded below even when the link expansion budget is unlimited.-
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 24 Mar 2016, available online: http://wwww.tandfonline.com/10.1080/23249935.2016.1154625-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License-
dc.titleReliable network design under supply uncertainty with probabilistic guarantees-
dc.typeArticle-
dc.identifier.emailSzeto, WY: ceszeto@hku.hk-
dc.identifier.authoritySzeto, WY=rp01377-
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2016.1154625-
dc.identifier.hkuros258116-
dc.identifier.volume12-
dc.identifier.issue6-
dc.identifier.spage504-
dc.identifier.epage532-
dc.publisher.placeUnited Kingdom-

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