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Locating battery charging stations to facilitate almost shortest paths

Esther M. Arkin, Paz Carmi, Matthew J. Katz, Joseph S.B. Mitchell, Michael Segal

Research output: Contribution to journalArticlepeer-review

Abstract

We study a facility location problem motivated by requirements pertaining to the distribution of charging stations for electric vehicles: Place a minimum number of battery charging stations at a subset of nodes of a network, so that battery-powered electric vehicles will be able to move between destinations using “t-spanning” routes, of lengths within a factor t>1 of the length of a shortest path, while having sufficient charging stations along the way. We give constant-factor approximation algorithms for minimizing the number of charging stations, subject to the t-spanning constraint. We study two versions of the problem, one in which the stations are required to support a single ride (to a single destination), and one in which the stations are to support multiple rides through a sequence of destinations, where the destinations are revealed one at a time.

Original languageAmerican English
Pages (from-to)10-16
Number of pages7
JournalDiscrete Applied Mathematics
Volume254
DOIs
StatePublished - 15 Feb 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Approximation algorithms
  • Optimization
  • Shortest paths
  • Spanners

All Science Journal Classification (ASJC) codes

  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

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