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Simultaneous Vehicle and Crew Scheduling for Extra Urban Transports

  • Benoît Laurent
  • Jin-Kao Hao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5027)

Abstract

We present a simultaneous approach to solve the integrated vehicle and crew scheduling problem in an extra urban context. We consider the single depot case with a heterogeneous fleet 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.

Keywords

Schedule Problem Greedy Randomize Adaptive Search Procedure Crew Schedule Local Search Phase Constraint Base Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Benoît Laurent
    • 1
    • 2
  • Jin-Kao Hao
    • 2
  1. 1.Perinfo SAStrasbourgFrance
  2. 2.LERIAUniversité d’AngersAngers Cedex 01France

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