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A Mutation Based Modular Evolutionary Scheme for Integrated Timetabling and Vehicle Scheduling With headways and Connection Quality Criteria

In: Operations Research Proceedings 2022

Author

Listed:
  • Lucas Mertens

    (Freie Universität Berlin)

  • Bastian Amberg

    (Freie Universität Berlin)

  • Natalia Kliewer

    (Freie Universität Berlin)

Abstract

We propose an adaptive modular evolutionary scheme for optimizing the NP-Hard integrated timetabling and vehicle scheduling problem (TTVSP) in public bus transit. Various heterogeneous mutation operators are utilized within the scheme. Depending on their impact on the computed timetable and corresponding bus schedule, each mutation operator will be adaptively applied with a weighted probability in future iterations. To validate the solution quality and runtime of the heuristic, we exactly solve the TTVSP considering vehicle fix and operational costs. The experiments show that the heuristic computes a cost-optimal solution in a reasonable time. We further increased the solution quality relating to service quality by extending the utilized approach considering both short connecting times between different lines and good headways.

Suggested Citation

  • Lucas Mertens & Bastian Amberg & Natalia Kliewer, 2023. "A Mutation Based Modular Evolutionary Scheme for Integrated Timetabling and Vehicle Scheduling With headways and Connection Quality Criteria," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 479-486, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_57
    DOI: 10.1007/978-3-031-24907-5_57
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