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Fleet management for autonomous vehicles using flows in time-expanded networks

Author

Listed:
  • Sahar Bsaybes

    (Université Grenoble Alpes, Grenoble INP, G-SCOP)

  • Alain Quilliot

    (Université Clermont Auvergne (LIMOS UMR CNRS 6158))

  • Annegret K. Wagler

    (Université Clermont Auvergne (LIMOS UMR CNRS 6158))

Abstract

VIPAFLEET is a framework to manage a fleet of Individual public autonomous vehicles (VIPA). We consider a fleet of cars distributed at specified stations in an industrial area to supply internal transportation, where the cars can be used in different modes of circulation (tram mode, elevator mode, taxi mode). We treat in this paper the pickup and delivery problem related to the taxi mode by means of flows in time-expanded networks. This enables us to compute optimal offline solutions, to propose strategies for the online situation, and to evaluate their performance in comparison with the optimal offline solution.

Suggested Citation

  • Sahar Bsaybes & Alain Quilliot & Annegret K. Wagler, 2019. "Fleet management for autonomous vehicles using flows in time-expanded networks," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 288-311, July.
    • Handle: RePEc:spr:topjnl:v:27:y:2019:i:2:d:10.1007_s11750-019-00506-4
    DOI: 10.1007/s11750-019-00506-4
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    References listed on IDEAS

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