The electric vehicle routing problem with shared charging stations

We introduce the electric vehicle routing problem with shared charging stations (E‐VRP‐SCS). The E‐VRP‐SCS extends the electric vehicle routing problem with nonlinear charging function (E‐VRP‐NL) by considering several companies that jointly invest in charging stations (CSs). The objective is to min...

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Published inInternational transactions in operational research Vol. 26; no. 4; pp. 1211 - 1243
Main Authors Koç, Çağrı, Jabali, Ola, Mendoza, Jorge E., Laporte, Gilbert
Format Journal Article
LanguageEnglish
Published Oxford Blackwell Publishing Ltd 01.07.2019
Subjects
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ISSN0969-6016
1475-3995
DOI10.1111/itor.12620

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Abstract We introduce the electric vehicle routing problem with shared charging stations (E‐VRP‐SCS). The E‐VRP‐SCS extends the electric vehicle routing problem with nonlinear charging function (E‐VRP‐NL) by considering several companies that jointly invest in charging stations (CSs). The objective is to minimize the sum of the fixed opening cost of CSs and the drivers cost. The problem consists of deciding the location and technology of the CSs and building the routes for each company. It is solved by means of a multistart heuristic that performs an adaptive large neighborhood search coupled with the solution of mixed integer linear programs. It also contains a number of advanced efficient procedures tailored to handle specific components of the E‐VRP‐SCS. We perform extensive computational experiments on benchmark instances. We assess the competitiveness of the heuristic on the E‐VRP‐NL and derive 38 new best known solutions. New benchmark results on the E‐VRP‐SCS are presented, solved, and analyzed.
AbstractList We introduce the electric vehicle routing problem with shared charging stations (E‐VRP‐SCS). The E‐VRP‐SCS extends the electric vehicle routing problem with nonlinear charging function (E‐VRP‐NL) by considering several companies that jointly invest in charging stations (CSs). The objective is to minimize the sum of the fixed opening cost of CSs and the drivers cost. The problem consists of deciding the location and technology of the CSs and building the routes for each company. It is solved by means of a multistart heuristic that performs an adaptive large neighborhood search coupled with the solution of mixed integer linear programs. It also contains a number of advanced efficient procedures tailored to handle specific components of the E‐VRP‐SCS. We perform extensive computational experiments on benchmark instances. We assess the competitiveness of the heuristic on the E‐VRP‐NL and derive 38 new best known solutions. New benchmark results on the E‐VRP‐SCS are presented, solved, and analyzed.
Author Jabali, Ola
Mendoza, Jorge E.
Laporte, Gilbert
Koç, Çağrı
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  givenname: Çağrı
  surname: Koç
  fullname: Koç, Çağrı
  email: cagri.koc@asbu.edu.tr
  organization: Social Sciences University of Ankara
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  givenname: Ola
  surname: Jabali
  fullname: Jabali, Ola
  email: ola.jabali@polimi.it
  organization: Informazione e Bioingegneria Politecnico di Milano
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  givenname: Jorge E.
  surname: Mendoza
  fullname: Mendoza, Jorge E.
  email: jorge.mendoza@hec.ca
  organization: HEC Montréal
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  givenname: Gilbert
  surname: Laporte
  fullname: Laporte, Gilbert
  email: gilbert.laporte@cirrelt.ca
  organization: Canada Research Chair in Distribution Management and HEC Montréal
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Snippet We introduce the electric vehicle routing problem with shared charging stations (E‐VRP‐SCS). The E‐VRP‐SCS extends the electric vehicle routing problem with...
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SubjectTerms ALNS
Benchmarks
Charging
ehicle routing
Electric vehicles
Mixed integer
multidepot
nonlinear charging function
Operations research
Route planning
Routing
Stations
Vehicle routing
Title The electric vehicle routing problem with shared charging stations
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fitor.12620
https://www.proquest.com/docview/2178498254
Volume 26
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