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Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching

Author

Listed:
  • Soumia Ichoua

    (Département d’opérations et systèmes de décision, and Centre de recherche sur les technologies de l’organisation réseau, Université Laval, Québec, Québec, Canada G1K 7P4)

  • Michel Gendreau

    (Département d’informatique et de recherche opérationnelle, and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Québec, Canada H3C 3J7)

  • Jean-Yves Potvin

    (Département d’informatique et de recherche opérationnelle, and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Québec, Canada H3C 3J7)

Abstract

An important, but seldom investigated, issue in the field of dynamic vehicle routing and dispatching is how to exploit information about future events to improve decision making. In this paper, we address this issue in a real-time setting with a strategy based on probabilistic knowledge about future request arrivals to better manage the fleet of vehicles. More precisely, the new strategy introduces dummy customers (representing forecasted requests) in vehicle routes to provide a good coverage of the territory. This strategy is assessed through computational experiments performed in a simulated environment.

Suggested Citation

  • Soumia Ichoua & Michel Gendreau & Jean-Yves Potvin, 2006. "Exploiting Knowledge About Future Demands for Real-Time Vehicle Dispatching," Transportation Science, INFORMS, vol. 40(2), pages 211-225, May.
    • Handle: RePEc:inm:ortrsc:v:40:y:2006:i:2:p:211-225
    DOI: 10.1287/trsc.1050.0114
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    References listed on IDEAS

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