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

Sahar Bsaybes (), Alain Quilliot () and Annegret K. Wagler ()
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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)

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2019, vol. 27, issue 2, No 10, 288-311

Abstract: 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.

Keywords: Fleet management; Offline and online pickup and delivery problem (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11750-019-00506-4

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