Optimizing relocation operations in electric car-sharing

Claudio Gambella, Enrico Malaguti, Filippo Masini, Daniele Vigo*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this paper, we consider a station-based electric car-sharing system which allows one-way trips, and uses relocation to re-balance the vehicle distribution. We adopt the point-of-view of a service provider, whose objective is to maximize the profit associated with the trips performed by users. We introduce an exact relocation model for operating hours, and we explicitly consider the consumption and recharge process of electric vehicles batteries. In addition, the model is extended to the relocation operations to be performed at night, namely when the system is not operating. We also describe two model-based heuristics developed to solve the relocation model for operating hours on large-scale systems. The paper is concluded by a set of computational experiments on realistic data derived from an existing car-sharing system. The experiments investigate the scalability of the proposed model and highlight the circumstances under which the relocation operations can improve the system performance.

Original languageEnglish
Pages (from-to)234-245
Number of pages12
JournalOmega (United Kingdom)
Volume81
DOIs
Publication statusPublished - 1 Dec 2018

Keywords

  • Computational experiments
  • Electric car-sharing
  • Heuristic algorithms
  • Mathematical models
  • Operations
  • Relocation

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