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Kweon, Sang Jin
Operations Research and Applied Optimization Lab.
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dc.citation.startPage 9473831 -
dc.citation.title JOURNAL OF ADVANCED TRANSPORTATION -
dc.citation.volume 2020 -
dc.contributor.author Hwang, Seong Wook -
dc.contributor.author Kweon, Sang Jin -
dc.contributor.author Ventura, Jose A. -
dc.date.accessioned 2023-12-21T18:07:07Z -
dc.date.available 2023-12-21T18:07:07Z -
dc.date.created 2020-02-21 -
dc.date.issued 2020-02 -
dc.description.abstract With the development of alternative fuel (AF) vehicle technologies, studies on finding the potential location of AF refueling stations in transportation networks have received considerable attention. Due to the strong limited driving range, AF vehicles for long-distance intercity trips may require multiple refueling stops at different locations on the way to their destination, which makes the AF refueling station location problem more challenging. In this paper, we consider that AF vehicles requiring multiple refueling stops at different locations during their long-distance intercity trips are capable of making detours from their preplanned paths and selecting return paths that may be different from original paths for their round trips whenever AF refueling stations are not available along the preplanned paths. These options mostly need to be considered when an AF refueling infrastructure is not fully developed on a highway system. To this end, we first propose an algorithm to generate alternative paths that may provide the multiple AF refueling stops between all origin/destination (OD) vertices. Then, a new mixed-integer programming model is proposed to locate AF refueling stations within a preselected set of candidate sites on a directed transportation network by maximizing the coverage of traffic flows along multiple paths. We first test our mathematical model with the proposed algorithm on a classical 25-vertex network with 25 candidate sites through various scenarios that consider a different number of paths for each OD pair, deviation factors, and limited driving ranges of vehicles. Then, we apply our proposed model to locate liquefied natural gas refueling stations in the state of Pennsylvania considering the construction budget. Our results show that the number of alternative paths and deviation distance available significantly affect the coverage of traffic flows at the stations as well as computational time. -
dc.identifier.bibliographicCitation JOURNAL OF ADVANCED TRANSPORTATION, v.2020, pp.9473831 -
dc.identifier.doi 10.1155/2020/9473831 -
dc.identifier.issn 0197-6729 -
dc.identifier.scopusid 2-s2.0-85081174341 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/31234 -
dc.identifier.url https://www.hindawi.com/journals/jat/2020/9473831/ -
dc.identifier.wosid 000518689600002 -
dc.language 영어 -
dc.publisher WILEY-HINDAWI -
dc.title An Alternative Fuel Refueling Station Location Model considering Detour Traffic Flows on a Highway Road System -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor SHORTEST PATHS -
dc.subject.keywordAuthor HEURISTIC ALGORITHM -
dc.subject.keywordAuthor LOOPLESS PATHS -
dc.subject.keywordAuthor COMPUTING K -
dc.subject.keywordAuthor INFRASTRUCTURE -
dc.subject.keywordAuthor VEHICLES -
dc.subject.keywordAuthor IMPLEMENTATION -
dc.subject.keywordAuthor OPTIMIZATION -
dc.subject.keywordAuthor FORMULATION -
dc.subject.keywordAuthor NETWORK -

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