Publications

Detailed Information

A pragmatic algorithm for the train-set routing: The case of Korea high-speed railway

DC Field Value Language
dc.contributor.authorHong, Sung-Pil-
dc.contributor.authorKim, Kyung Min-
dc.contributor.authorLee, Kyungsik-
dc.contributor.authorPark, Bum Hwan-
dc.date.accessioned2012-03-05T02:30:20Z-
dc.date.available2012-03-05T02:30:20Z-
dc.date.issued2009-06-01-
dc.identifier.citationOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE; Vol.37 3; 637-645-
dc.identifier.issn0305-0483-
dc.identifier.urihttps://hdl.handle.net/10371/75334-
dc.description.abstractThis paper presents a two-phased train-set routing algorithm to cover a weekly train timetable with minimal working days of a minimal number of train-sets. First, relax maintenance requirements and obtain minimum cost routes by solving the polynomial relaxation. Then, maintenance-feasible routes are generated from the crossovers of the minimum cost routes. This pragmatic approach seems particularly effective for the high-speed railway systems, where the railway topology is relatively simple with few end stations while the trains are frequent. Applied to the current weekly timetable of the Korea high-speed railway, we could find an optimal feasible routing, which is an 8.8% improvement over the current routing generated by a set partitioning approach based on a path generation scheme. (c) 2008 Elsevier Ltd. All rights reserved.-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectRail transport-
dc.subjectMinimum cost flow-
dc.subjectMaintenance-
dc.subjectTrain-set routing-
dc.titleA pragmatic algorithm for the train-set routing: The case of Korea high-speed railway-
dc.typeArticle-
dc.contributor.AlternativeAuthor홍성필-
dc.contributor.AlternativeAuthor김경민-
dc.contributor.AlternativeAuthor이경식-
dc.contributor.AlternativeAuthor박범환-
dc.identifier.doi10.1016/j.omega.2008.03.003-
dc.citation.journaltitleOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE-
dc.description.citedreferenceKuo CC, 2007, OMEGA-INT J MANAGE S, V35, P472, DOI 10.1016/j.omega.2005.09.003-
dc.description.citedreferenceMaroti G, 2007, COMPUT OPER RES, V34, P1121, DOI 10.1016/j.cor.2005.05.026-
dc.description.citedreferenceBUNTE S, 2006, OVERVIEW VEHICLE SCH-
dc.description.citedreferenceBrucker P, 2003, J GLOBAL OPTIM, V27, P313-
dc.description.citedreferenceANDEREGG L, 2003, P 5 WORKSH ALG ENG E-
dc.description.citedreferenceLingaya N, 2002, TRANSPORT RES B-METH, V36, P755-
dc.description.citedreferenceZHAO P, 2002, COMPUTERS RAILWAYS, V8, P817-
dc.description.citedreferenceCordeau JF, 2001, TRANSPORT RES B-METH, V35, P767-
dc.description.citedreferenceErlebach T, 2001, LECT NOTES COMPUT SC, V2223, P390-
dc.description.citedreferenceGOPALAN R, 1998, OPERATIONS RES, V46-
dc.description.citedreferenceKHEDHER NB, 1998, INTERFACES, V28, P6-
dc.description.citedreferenceZiarati K, 1997, EUR J OPER RES, V97, P281-
dc.description.citedreferenceClarke L, 1997, ANN OPER RES, V69, P33-
dc.description.citedreferenceFORBES MA, 1997, J OPERATIONAL RES SO, V42-
dc.description.citedreferenceSCHRIJVER A, 1993, CWI Q, V6, P205-
dc.description.citedreferenceKABBANI NM, 1992, P 32 ANN S AGIFORS B-
dc.description.citedreferenceBERTOSSI AA, 1987, NETWORKS, V17, P313-
dc.description.citedreferenceDANTZIG G, 1954, NAV RES LOG, V1, P217-
dc.description.citedreferenceCHUNG JW, INT J MANAG IN PRESS, DOI DOI 10.1016/J.OMEGA.2007.12.001-
dc.description.tc2-
dc.identifier.wosid000259851900014-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share