Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sohn, Keemin | - |
dc.date.available | 2019-03-09T01:56:42Z | - |
dc.date.issued | 2013-06 | - |
dc.identifier.issn | 1524-9050 | - |
dc.identifier.issn | 1558-0016 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14595 | - |
dc.description.abstract | Crowding in metro trains is a major factor in determining both the passenger service level and the operator supply level. An uneven distribution in passenger load across individual cars of a train exacerbates the overall capacity loading of a metro transit system. A loading diversity factor has been adopted to adjust the effect when computing the capacity of a metro train. The passenger preference for a specific car of a train was found to depend upon minimizing the walking distance at destination stations. This paper is focused on the possibility that a passenger load could be more evenly dispersed by varying train-stop positions. This paper proposes a mathematical programming model to find the optimal train-stop position at each station of a hypothesized metro line. The objective function is set to minimize the discrepancies in passenger loading across individual cars. After applying a genetic algorithm to solve the proposed model, differentiating train-stop positions considerably improved the distribution of passenger loading. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TITS.2013.2252166 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.14, no.2, pp 994 - 1002 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000319828800046 | - |
dc.identifier.scopusid | 2-s2.0-84878692536 | - |
dc.citation.endPage | 1002 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 994 | - |
dc.citation.title | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | - |
dc.citation.volume | 14 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | Loading diversity | - |
dc.subject.keywordAuthor | metro crowding | - |
dc.subject.keywordAuthor | public transport | - |
dc.subject.keywordAuthor | train-stop location | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | TRACK | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Transportation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Transportation Science & Technology | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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