License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2016.7
URN: urn:nbn:de:0030-drops-67782
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6778/
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Agarwal, Pankaj K. ; Pan, Jiangwei ; Victor, Will

An Efficient Algorithm for Placing Electric Vehicle Charging Stations

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LIPIcs-ISAAC-2016-7.pdf (0.5 MB)

Abstract

Motivated by the increasing popularity of electric vehicles (EV) and a lack of charging stations in the road network, we study the shortest path hitting set (SPHS) problem. Roughly speaking, given an input graph G, the goal is to compute a small-size subset H of vertices of G such that by placing charging stations at vertices in H, every shortest path in G becomes EV-feasible, i.e., an EV can travel between any two vertices of G through the shortest path with a full charge. In this paper, we propose a bi-criteria approximation algorithm with running time near-linear in the size of G that has a logarithmic approximation on |H| and may require the EV to slightly deviate from the shortest path. We also present a data structure for computing an EV-feasible path between two query vertices of G.

BibTeX - Entry

@InProceedings{agarwal_et_al:LIPIcs:2016:6778,
  author =	{Pankaj K. Agarwal and Jiangwei Pan and Will Victor},
  title =	{{An Efficient Algorithm for Placing Electric Vehicle Charging Stations}},
  booktitle =	{27th International Symposium on Algorithms and Computation (ISAAC 2016)},
  pages =	{7:1--7:12},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-026-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{64},
  editor =	{Seok-Hee Hong},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6778},
  URN =		{urn:nbn:de:0030-drops-67782},
  doi =		{10.4230/LIPIcs.ISAAC.2016.7},
  annote =	{Keywords: Shortest path hitting set, Charging station placement, Electric vehicle}
}

Keywords: Shortest path hitting set, Charging station placement, Electric vehicle
Collection: 27th International Symposium on Algorithms and Computation (ISAAC 2016)
Issue Date: 2016
Date of publication: 07.12.2016

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