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Article: Eco-based pavement lifecycle maintenance scheduling optimization for equilibrated networks

TitleEco-based pavement lifecycle maintenance scheduling optimization for equilibrated networks
Authors
KeywordsMaintenance scheduling
Fuel consumption
Equilibrated network
Optimal deployment
Issue Date2020
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trd
Citation
Transportation Research Part D: Transport & Environment, 2020, v. 86, p. article no. 102471 How to Cite?
AbstractThis paper proposes a bi-level mathematical programming framework for pavement maintenance to minimize fuel consumption in equilibrated networks. The proposed model extends research in the area by formulating the interaction between network equilibrium and various maintenance activities. The volume of traffic, age of the pavement, initial conditions, and interference due to maintenance are considered in developing this long-term deterioration model. The fuel consumption induced by roughness and traffic disruption is further investigated in the optimization process. A modified active set algorithm with nested sub-programming is developed to generate the detailed solutions. The performance of the proposed model was tested by comparing it with two other mainstream strategies: worst first and threshold control. The results show that eco-based method outperformed prevalent models by reducing extra fuel consumption by 20%. They thus show that eco-based optimal scheduling has the potential to aid in long-term maintenance decisions and reduce the energy cost.
Persistent Identifierhttp://hdl.handle.net/10722/284545
ISSN
2020 Impact Factor: 5.495
2015 SCImago Journal Rankings: 1.144
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, C-
dc.contributor.authorDu, YC-
dc.contributor.authorWong, SC-
dc.contributor.authorChang, G-
dc.contributor.authorJiang, S-
dc.date.accessioned2020-08-07T08:59:10Z-
dc.date.available2020-08-07T08:59:10Z-
dc.date.issued2020-
dc.identifier.citationTransportation Research Part D: Transport & Environment, 2020, v. 86, p. article no. 102471-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/10722/284545-
dc.description.abstractThis paper proposes a bi-level mathematical programming framework for pavement maintenance to minimize fuel consumption in equilibrated networks. The proposed model extends research in the area by formulating the interaction between network equilibrium and various maintenance activities. The volume of traffic, age of the pavement, initial conditions, and interference due to maintenance are considered in developing this long-term deterioration model. The fuel consumption induced by roughness and traffic disruption is further investigated in the optimization process. A modified active set algorithm with nested sub-programming is developed to generate the detailed solutions. The performance of the proposed model was tested by comparing it with two other mainstream strategies: worst first and threshold control. The results show that eco-based method outperformed prevalent models by reducing extra fuel consumption by 20%. They thus show that eco-based optimal scheduling has the potential to aid in long-term maintenance decisions and reduce the energy cost.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trd-
dc.relation.ispartofTransportation Research Part D: Transport & Environment-
dc.subjectMaintenance scheduling-
dc.subjectFuel consumption-
dc.subjectEquilibrated network-
dc.subjectOptimal deployment-
dc.titleEco-based pavement lifecycle maintenance scheduling optimization for equilibrated networks-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trd.2020.102471-
dc.identifier.scopuseid_2-s2.0-85088821742-
dc.identifier.hkuros312339-
dc.identifier.volume86-
dc.identifier.spagearticle no. 102471-
dc.identifier.epagearticle no. 102471-
dc.identifier.isiWOS:000569329000009-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1361-9209-

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