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The Simultaneous Vehicle Scheduling and Passenger Service Problem

Author

Listed:
  • Hanne L. Petersen

    (DTU Transport, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Allan Larsen

    (DTU Transport, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Oli B. G. Madsen

    (DTU Transport, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Bjørn Petersen

    (DTU Transport, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

  • Stefan Ropke

    (DTU Transport, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

Abstract

Passengers using public transport systems often experience waiting times when transferring between two scheduled services. In this paper we propose a planning approach that seeks to obtain a favourable trade-off between the two contrasting objectives, passenger service and operating cost, by modifying the timetable. The planning approach is referred to as the simultaneous vehicle scheduling and passenger service problem (SVSPSP). The SVSPSP is modelled as an integer programming problem and solved using a large neighborhood search metaheuristic. The proposed framework is tested on data inspired by the express-bus network in the Greater Copenhagen area. The results are encouraging and indicate a potential decrease of passenger transfer waiting times in the network of up to 20%, with the vehicle scheduling costs remaining mostly unaffected.

Suggested Citation

  • Hanne L. Petersen & Allan Larsen & Oli B. G. Madsen & Bjørn Petersen & Stefan Ropke, 2013. "The Simultaneous Vehicle Scheduling and Passenger Service Problem," Transportation Science, INFORMS, vol. 47(4), pages 603-616, November.
    • Handle: RePEc:inm:ortrsc:v:47:y:2013:i:4:p:603-616
    DOI: 10.1287/trsc.1120.0429
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    References listed on IDEAS

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    Cited by:

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    5. Julius Pätzold, 2021. "Finding robust periodic timetables by integrating delay management," Public Transport, Springer, vol. 13(2), pages 349-374, June.
    6. Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
    7. Wenliang Zhou & Mehdi Oldache, 2021. "Integrated Optimization of Line Planning, Timetabling and Rolling Stock Allocation for Urban Railway Lines," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    8. Cinzia Daraio & Marco Diana & Flavia Di Costa & Claudio Leporelli & Giorgio Matteucci & Alberto Nastasi, 2014. "Efficiency and effectiveness in the urban public transport sector: a critical review with directions for future research," DIAG Technical Reports 2014-14, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    9. João Paiva Fonseca & Tobias Zündorf & Evelien van der Hurk & Yongqiu Zhu & Allan Larsen, 2022. "A matheuristic for passenger service optimization through timetabling with free passenger route choice," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1087-1129, December.
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