Simultaneous Vehicle and Crew Scheduling for Extra Urban Transports

  • Authors:
  • Benoît Laurent;Jin-Kao Hao

  • Affiliations:
  • Perinfo SA, Strasbourg, France 67000 and LERIA, Université d'Angers, Angers Cedex 01, France 49045;LERIA, Université d'Angers, Angers Cedex 01, France 49045

  • Venue:
  • IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
  • Year:
  • 2008

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Abstract

We present a simultaneousapproach to solve the integrated vehicle and crew scheduling problem in an extra urban context. We consider the single depot case with a heterogeneousfleet of vehicles. We propose a constraint based model which is subsequently solved by a Greedy Randomized Adaptive Search Procedure. The construction phase of each initial solution relies on constraint programming techniques, while the local search phase exploits a powerful neighborhood exploration mechanism. The computational experiments conducted on real-world instances show the effectiveness and the flexibility of the approach compared with the classical sequential vehicle and crew scheduling.