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Article: Train stop deployment planning in the case of complete blockage: An integer linear programing model

TitleTrain stop deployment planning in the case of complete blockage: An integer linear programing model
Authors
Keywordshigh-speed railway
segment blockage
train stop
integer linear programing
Issue Date2021
PublisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/utss20
Citation
Journal of Transportation Safety & Security, 2021, v. 13 n. 10, p. 1066-1092 How to Cite?
AbstractThis paper focuses on train stop deployment planning for high-speed railway lines during a major disruption, when a segment is completely blocked for a relatively long period of time. Due to this disruption, trains approaching the disrupted area must be stopped at appropriate stations based on their types for safety and operational reasons. Stopped trains should not hinder other trains that can continue to run during the disruption. Train stop deployment planning is applied to handle this problem. A mixed integer linear programing (MILP) model is formulated to minimize the number of canceled trains and the total weighted train deviations. The model is tested on a real-world instance, the Beijing-Shanghai high-speed railway, and related lines are implicitly taken into account because of cross-line trains. The results show that our model can obtain good solutions within a relatively short computation time for disruptions lasting no more than 90 minutes.
Persistent Identifierhttp://hdl.handle.net/10722/305304
ISSN
2023 Impact Factor: 2.4
2023 SCImago Journal Rankings: 0.699
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhan, S-
dc.contributor.authorWong, SC-
dc.contributor.authorPeng, Q-
dc.contributor.authorLo, SM-
dc.date.accessioned2021-10-20T10:07:31Z-
dc.date.available2021-10-20T10:07:31Z-
dc.date.issued2021-
dc.identifier.citationJournal of Transportation Safety & Security, 2021, v. 13 n. 10, p. 1066-1092-
dc.identifier.issn1943-9962-
dc.identifier.urihttp://hdl.handle.net/10722/305304-
dc.description.abstractThis paper focuses on train stop deployment planning for high-speed railway lines during a major disruption, when a segment is completely blocked for a relatively long period of time. Due to this disruption, trains approaching the disrupted area must be stopped at appropriate stations based on their types for safety and operational reasons. Stopped trains should not hinder other trains that can continue to run during the disruption. Train stop deployment planning is applied to handle this problem. A mixed integer linear programing (MILP) model is formulated to minimize the number of canceled trains and the total weighted train deviations. The model is tested on a real-world instance, the Beijing-Shanghai high-speed railway, and related lines are implicitly taken into account because of cross-line trains. The results show that our model can obtain good solutions within a relatively short computation time for disruptions lasting no more than 90 minutes.-
dc.languageeng-
dc.publisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandfonline.com/loi/utss20-
dc.relation.ispartofJournal of Transportation Safety & Security-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Transportation Safety & Security on 5 Aug 2019, available online: http://www.tandfonline.com/10.1080/19439962.2019.1645773-
dc.subjecthigh-speed railway-
dc.subjectsegment blockage-
dc.subjecttrain stop-
dc.subjectinteger linear programing-
dc.titleTrain stop deployment planning in the case of complete blockage: An integer linear programing model-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1080/19439962.2019.1645773-
dc.identifier.scopuseid_2-s2.0-85070444692-
dc.identifier.hkuros327174-
dc.identifier.volume13-
dc.identifier.issue10-
dc.identifier.spage1066-
dc.identifier.epage1092-
dc.identifier.isiWOS:000709912600001-
dc.publisher.placeUnited States-

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