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dc.contributor.authorArslan O.en_US
dc.contributor.authorYildiz, B.en_US
dc.contributor.authorKaraşan O.E.en_US
dc.date.accessioned2016-02-08T09:45:39Z
dc.date.available2016-02-08T09:45:39Z
dc.date.issued2015en_US
dc.identifier.issn13665545
dc.identifier.urihttp://hdl.handle.net/11693/21392
dc.description.abstractWe introduce a practically important and theoretically challenging problem: finding the minimum cost path for PHEVs in a road network with refueling and charging stations. We show that this problem is NP-complete and present a mixed integer quadratically constrained formulation, a discrete approximation dynamic programming heuristic, and a shortest path heuristic as solution methodologies. Practical applications of the problem in transportation and logistics, considering specifically the long-distance trips, are discussed in detail. Through extensive computational experiments, significant insights are provided. In addition to the charging infrastructure availability, a driver's stopping tolerance arises as another critical factor affecting the transportation costs. © 2015 Elsevier Ltd.en_US
dc.language.isoEnglishen_US
dc.source.titleTransportation Research Part E: Logistics and Transportation Reviewen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.tre.2015.05.011en_US
dc.subjectDynamic programmingen_US
dc.subjectEnergy managementen_US
dc.subjectInteger programmingen_US
dc.subjectLong-distance tripsen_US
dc.subjectRoutingen_US
dc.subjectcost analysisen_US
dc.subjectelectric vehicleen_US
dc.subjectlogisticsen_US
dc.subjecttransportation infrastructureen_US
dc.subjecttransportation planningen_US
dc.titleMinimum cost path problem for Plug-in Hybrid Electric Vehiclesen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineering
dc.citation.spage123en_US
dc.citation.epage141en_US
dc.citation.volumeNumber80en_US
dc.identifier.doi10.1016/j.tre.2015.05.011en_US
dc.publisherElsevier Ltden_US


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