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Vehicle scheduling for on-demand vehicle fleets in macroscopic travel demand models

Author

Listed:
  • Johann Hartleb

    (University of Stuttgart
    Erasmus University Rotterdam)

  • Markus Friedrich

    (University of Stuttgart)

  • Emely Richter

    (University of Stuttgart)

Abstract

The planning of on-demand services requires the formation of vehicle schedules consisting of service trips and empty trips. This paper presents an algorithm for building vehicle schedules that uses time-dependent demand matrices (= service trips) as input and determines time-dependent empty trip matrices and the number of required vehicles as a result. The presented approach is intended for long-term, strategic transport planning. For this purpose, it provides planners with an estimate of vehicle fleet size and distance travelled by on-demand services. The algorithm can be applied to integer and non-integer demand matrices and is therefore particularly suitable for macroscopic travel demand models. Two case studies illustrate potential applications of the algorithm and feature that on-demand services can be considered in macroscopic travel demand models.

Suggested Citation

  • Johann Hartleb & Markus Friedrich & Emely Richter, 2022. "Vehicle scheduling for on-demand vehicle fleets in macroscopic travel demand models," Transportation, Springer, vol. 49(4), pages 1133-1155, August.
    • Handle: RePEc:kap:transp:v:49:y:2022:i:4:d:10.1007_s11116-021-10205-4
    DOI: 10.1007/s11116-021-10205-4
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    References listed on IDEAS

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    1. Markus Friedrich & Maximilian Hartl & Christoph Magg, 2018. "A modeling approach for matching ridesharing trips within macroscopic travel demand models," Transportation, Springer, vol. 45(6), pages 1639-1653, November.
    2. Desfontaines, Lucie & Desaulniers, Guy, 2018. "Multiple depot vehicle scheduling with controlled trip shifting," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 34-53.
    3. Daniel J. Fagnant & Kara M. Kockelman, 2018. "Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas," Transportation, Springer, vol. 45(1), pages 143-158, January.
    4. Rogge, Matthias & van der Hurk, Evelien & Larsen, Allan & Sauer, Dirk Uwe, 2018. "Electric bus fleet size and mix problem with optimization of charging infrastructure," Applied Energy, Elsevier, vol. 211(C), pages 282-295.
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    Cited by:

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    2. Sönke Beckmann & Sebastian Trojahn & Hartmut Zadek, 2023. "Process Model for the Introduction of Automated Buses," Sustainability, MDPI, vol. 15(19), pages 1-36, September.

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