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Scheduling truck drivers with interdependent routes under European Union regulations

Author

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  • Sartori, Carlo S.
  • Smet, Pieter
  • Vanden Berghe, Greet

Abstract

When transporting goods, truck drivers may have to perform load transfers between two vehicles at cross-dock or transfer locations. These transfers create interdependencies between the routes of different truck drivers and require careful temporal synchronization. The situation becomes even more complicated when driver schedules must comply with customer time windows, working periods and regulatory resting requirements. Although the scheduling of hours of service for truck drivers is a well-known problem, existing algorithms cannot cope with interdependent routes. We introduce the Truck Driver Scheduling Problem with Interdependent Routes to successfully accommodate this real-world characteristic. This paper proposes a mathematical model and a label propagation algorithm to solve this new problem under the regulations of the European Union. Experiments indicate that the algorithm can quickly schedule a large number of interdependent routes and outperforms a mathematical programming approach. The algorithm produces valid schedules for multiple drivers and thus becomes a foundation for future vehicle routing algorithms that address interdependent routes and hours of service regulations.

Suggested Citation

  • Sartori, Carlo S. & Smet, Pieter & Vanden Berghe, Greet, 2022. "Scheduling truck drivers with interdependent routes under European Union regulations," European Journal of Operational Research, Elsevier, vol. 298(1), pages 76-88.
  • Handle: RePEc:eee:ejores:v:298:y:2022:i:1:p:76-88
    DOI: 10.1016/j.ejor.2021.06.019
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    References listed on IDEAS

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    1. Van Belle, Jan & Valckenaers, Paul & Cattrysse, Dirk, 2012. "Cross-docking: State of the art," Omega, Elsevier, vol. 40(6), pages 827-846.
    2. Asvin Goel & Stefan Irnich, 2017. "An Exact Method for Vehicle Routing and Truck Driver Scheduling Problems," Transportation Science, INFORMS, vol. 51(2), pages 737-754, May.
    3. Tilk, Christian & Goel, Asvin, 2020. "Bidirectional labeling for solving vehicle routing and truck driver scheduling problems," European Journal of Operational Research, Elsevier, vol. 283(1), pages 108-124.
    4. Goel, Asvin, 2018. "Legal aspects in road transport optimization in Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 144-162.
    5. Asvin Goel, 2009. "Vehicle Scheduling and Routing with Drivers' Working Hours," Transportation Science, INFORMS, vol. 43(1), pages 17-26, February.
    6. Asvin Goel, 2010. "Truck Driver Scheduling in the European Union," Transportation Science, INFORMS, vol. 44(4), pages 429-441, November.
    7. Goel, Asvin, 2014. "Hours of service regulations in the United States and the 2013 rule change," Transport Policy, Elsevier, vol. 33(C), pages 48-55.
    8. Asvin Goel & Leendert Kok, 2012. "Truck Driver Scheduling in the United States," Transportation Science, INFORMS, vol. 46(3), pages 317-326, August.
    9. Kok, A.L. & Hans, E.W. & Schutten, J.M.J., 2011. "Optimizing departure times in vehicle routes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 579-587, May.
    10. Drexl, Michael, 2013. "Applications of the vehicle routing problem with trailers and transshipments," European Journal of Operational Research, Elsevier, vol. 227(2), pages 275-283.
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    Cited by:

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    2. Fatemeh Faghih-Mohammadi & Mohammad Mahdi Nasiri & Dinçer Konur, 2023. "Cross-dock facility for disaster relief operations," Annals of Operations Research, Springer, vol. 322(1), pages 497-538, March.

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