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The Trip Scheduling Problem

Author

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  • Claudia Archetti

    (Department of Quantitative Methods, University of Brescia, 25122 Brescia, Italy)

  • Martin Savelsbergh

    (H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332)

Abstract

The hours of service (HOS) regulations of the department of transportation severely restrict the set of feasible driver schedules. So much so that establishing whether a sequence of full truckload transportation requests, each with a dispatch window at the origin, can feasibly be executed by a driver is no longer a matter of simple forward simulation. We consider this problem and prove that the feasibility of a driver schedule can be checked in polynomial time by providing an O ( n 3 ) algorithm for establishing whether a sequence of full truckload transportation requests, each with a dispatch window at the origin, can be executed by a driver.

Suggested Citation

  • Claudia Archetti & Martin Savelsbergh, 2009. "The Trip Scheduling Problem," Transportation Science, INFORMS, vol. 43(4), pages 417-431, November.
    • Handle: RePEc:inm:ortrsc:v:43:y:2009:i:4:p:417-431
    DOI: 10.1287/trsc.1090.0278
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    References listed on IDEAS

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    1. Warren B. Powell & Arun Marar & Jack Gelfand & Steve Bowers, 2002. "Implementing Real-Time Optimization Models: A Case Application From The Motor Carrier Industry," Operations Research, INFORMS, vol. 50(4), pages 571-581, August.
    2. Warren B. Powell, 1986. "A Stochastic Model of the Dynamic Vehicle Allocation Problem," Transportation Science, INFORMS, vol. 20(2), pages 117-129, May.
    3. Powell, Warren B., 1987. "An operational planning model for the dynamic vehicle allocation problem with uncertain demands," Transportation Research Part B: Methodological, Elsevier, vol. 21(3), pages 217-232, June.
    4. Ann Melissa Campbell & Martin W. P. Savelsbergh, 2004. "Delivery Volume Optimization," Transportation Science, INFORMS, vol. 38(2), pages 210-223, May.
    5. Warren B. Powell & Yosef Sheffi & Kenneth S. Nickerson & Kevin Butterbaugh & Susan Atherton, 1988. "Maximizing Profits for North American Van Lines' Truckload Division: A New Framework for Pricing and Operations," Interfaces, INFORMS, vol. 18(1), pages 21-41, February.
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    Cited by:

    1. Mor, Andrea & Archetti, Claudia & Jabali, Ola & Simonetto, Alberto & Speranza, M. Grazia, 2022. "The Bi-objective Long-haul Transportation Problem on a Road Network," Omega, Elsevier, vol. 106(C).
    2. Christian Tilk & Asvin Goel, 2019. "Bidirectional labeling for solving vehicle routing and truck driver scheduling problems," Working Papers 1914, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Daiane Maria Genaro Chiroli & Sérgio Fernando Mayerle & João Neiva Figueiredo, 2022. "Using state-space shortest-path heuristics to solve the long-haul point-to-point vehicle routing and driver scheduling problem subject to hours-of-service regulatory constraints," Journal of Heuristics, Springer, vol. 28(1), pages 23-59, February.
    4. 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.
    5. Asvin Goel & Thibaut Vidal, 2014. "Hours of Service Regulations in Road Freight Transport: An Optimization-Based International Assessment," Transportation Science, INFORMS, vol. 48(3), pages 391-412, August.
    6. Gilbert Laporte, 2016. "Scheduling issues in vehicle routing," Annals of Operations Research, Springer, vol. 236(2), pages 463-474, January.
    7. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "A comparison of three idling options in long-haul truck scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 631-647.
    8. Zhouxing Su & Zhipeng Lü & Zhuo Wang & Yanmin Qi & Una Benlic, 2020. "A Matheuristic Algorithm for the Inventory Routing Problem," Transportation Science, INFORMS, vol. 54(2), pages 330-354, March.
    9. Marie-Eve Rancourt & Jean-François Cordeau & Gilbert Laporte, 2013. "Long-Haul Vehicle Routing and Scheduling with Working Hour Rules," Transportation Science, INFORMS, vol. 47(1), pages 81-107, February.
    10. 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.
    11. 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.
    12. Gilbert Laporte, 2016. "Scheduling issues in vehicle routing," Annals of Operations Research, Springer, vol. 236(2), pages 463-474, January.
    13. Asvin Goel, 2010. "Truck Driver Scheduling in the European Union," Transportation Science, INFORMS, vol. 44(4), pages 429-441, November.
    14. 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.
    15. Asvin Goel & Leendert Kok, 2012. "Truck Driver Scheduling in the United States," Transportation Science, INFORMS, vol. 46(3), pages 317-326, August.
    16. 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.
    17. Pottel, Steffen & Goel, Asvin, 2022. "Scheduling activities with time-dependent durations and resource consumptions," European Journal of Operational Research, Elsevier, vol. 301(2), pages 445-457.
    18. Vital, Filipe & Ioannou, Petros, 2021. "Scheduling and shortest path for trucks with working hours and parking availability constraints," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 1-37.
    19. Asvin Goel & Thibaut Vidal & Adrianus Leendert Kok, 2021. "To team up or not: single versus team driving in European road freight transport," Flexible Services and Manufacturing Journal, Springer, vol. 33(4), pages 879-913, December.
    20. Pilz, Danny & Schwerdfeger, Stefan & Boysen, Nils, 2022. "Make or break: Coordinated assignment of parking space for breaks and rest periods in long-haul trucking," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 45-64.
    21. Eric Prescott-Gagnon & Guy Desaulniers & Michael Drexl & Louis-Martin Rousseau, 2010. "European Driver Rules in Vehicle Routing with Time Windows," Transportation Science, INFORMS, vol. 44(4), pages 455-473, November.
    22. Eskandarzadeh, Saman & Fahimnia, Behnam, 2022. "Rest break policy comparison for heavy vehicle drivers in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).

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