Placement of Loading Stations for Electric Vehicles : No Detours Necessary!

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dc.contributor.authorFunke, Stefan
dc.contributor.authorNusser, Andre
dc.contributor.authorStorandt, Sabine
dc.date.accessioned2018-11-09T08:38:14Z
dc.date.available2018-11-09T08:38:14Z
dc.date.issued2015-08-12eng
dc.description.abstractCompared to conventional cars, electric vehicles (EVs) still suffer from considerably shorter cruising ranges. Combined with the sparsity of battery loading stations, the complete transition to E-mobility still seems a long way to go. In this paper, we consider the problem of placing as few loading stations as possible so that on any shortest path there are sufficiently many not to run out of energy. We show how to model this problem and introduce heuristics which provide close-to-optimal solutions even in large road networks.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1613/jair.4688eng
dc.identifier.ppn512737894
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/43744
dc.language.isoengeng
dc.rightsterms-of-use
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dc.subject.ddc004eng
dc.titlePlacement of Loading Stations for Electric Vehicles : No Detours Necessary!eng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
@article{Funke2015-08-12Place-43744,
  year={2015},
  doi={10.1613/jair.4688},
  title={Placement of Loading Stations for Electric Vehicles : No Detours Necessary!},
  volume={53},
  issn={1076-9757},
  journal={Journal of Artificial Intelligence Research : JAIR},
  pages={633--658},
  author={Funke, Stefan and Nusser, Andre and Storandt, Sabine}
}
kops.citation.iso690FUNKE, Stefan, Andre NUSSER, Sabine STORANDT, 2015. Placement of Loading Stations for Electric Vehicles : No Detours Necessary!. In: Journal of Artificial Intelligence Research : JAIR. 2015, 53, pp. 633-658. ISSN 1076-9757. eISSN 1943-5037. Available under: doi: 10.1613/jair.4688deu
kops.citation.iso690FUNKE, Stefan, Andre NUSSER, Sabine STORANDT, 2015. Placement of Loading Stations for Electric Vehicles : No Detours Necessary!. In: Journal of Artificial Intelligence Research : JAIR. 2015, 53, pp. 633-658. ISSN 1076-9757. eISSN 1943-5037. Available under: doi: 10.1613/jair.4688eng
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