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Overview of Optimization Problems in Electric Car-Sharing System Design and Management

  • Georg Brandstätter
  • Claudio Gambella
  • Markus Leitner
  • Enrico Malaguti
  • Filippo Masini
  • Jakob Puchinger
  • Mario Ruthmair
  • Daniele Vigo
Chapter
Part of the Dynamic Modeling and Econometrics in Economics and Finance book series (DMEF, volume 22)

Abstract

Car-sharing systems are increasingly employing environmentally-friendly electric vehicles. The design and management of Ecar-sharing systems poses several additional challenges with respect to those based on traditional combustion vehicles, mainly related with the limited autonomy allowed by current battery technology. We review the main optimization problems arising in Ecar-sharing systems at strategic, tactical and operational levels, and discuss the existing approaches often developed for similar problems, for example in car-sharing systems with traditional vehicles. We also outline open problems and fruitful research directions.

Keywords

Electric Vehicle Mixed Integer Programming Vehicle Route Problem Mixed Integer Programming Model Mixed Integer Programming Formulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This research is performed within the European project e4-share (Models for Ecological, Economical, Efficient, Electric Car-Sharing) funded by FFG (Austria) under grant 847350, INNOVIRIS (Belgium) and MIUR (Italy) via the Joint Programme Initiative Urban Europe. See http://www.univie.ac.at/e4-share/ for more details. The authors are indebted to two anonymous referees for their useful comments.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Georg Brandstätter
    • 1
  • Claudio Gambella
    • 2
  • Markus Leitner
    • 1
  • Enrico Malaguti
    • 2
  • Filippo Masini
    • 2
  • Jakob Puchinger
    • 3
    • 4
  • Mario Ruthmair
    • 1
    • 5
  • Daniele Vigo
    • 2
  1. 1.Department of Statistics and Operations ResearchUniversity of ViennaViennaAustria
  2. 2.DEI “Guglielmo Marconi”University of BolognaBolognaItaly
  3. 3.Laboratoire Genie IndustrielCentraleSupélec, Université Paris-SaclayChatenay-MalabryFrance
  4. 4.Institut de Recherche Technologique SystemXPalaiseauFrance
  5. 5.Austrian Institute of TechnologyViennaAustria

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