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Chapitre D'ouvrage Année : 2018

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

Résumé

VIPAFLEET is a framework to develop models and algorithms for managing a fleet of Individual Public Autonomous Vehicles (VIPA). We consider a homogeneous fleet of such vehicles distributed at specified stations in a closed site to supply internal transportation, where the vehicles can be used in different modes of circulation (tram mode, elevator mode, taxi mode). We treat in this paper a variant of the On-line Pickup-and-Delivery Problem related to the taxi mode by means of multicommodity coupled flows in a time-expanded network and propose a corresponding integer linear programming formulation. This enables us to compute optimal offline solutions and to apply the well-known meta-strategy Replan to the online situation. As it turned out that Re-plan requires too long computation times, we devise a heuristic approach h-Replan based on the flow formulation. Finally, we evaluate the performance of Replan and h-Replan in comparison with the optimal offline solutions, both in terms of competitive analysis and computational experiments , showing that h-Replan computes reasonable solutions, so that it suits for the online situation.
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Dates et versions

hal-02045789 , version 1 (22-02-2019)

Identifiants

  • HAL Id : hal-02045789 , version 1

Citer

Sahar Bsaybes, Alain Quilliot, Annegret K Wagler. Fleet management for autonomous vehicles using multicommodity coupled flows in time-expanded networks. 17th International Symposium on Experimental Algorithms (SEA 2018), Leibniz International Proceedings in Informatics (LIPIcs), 2018. ⟨hal-02045789⟩
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