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An extended model and procedural framework for planning multi-modal passenger journeys

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  • Horn, Mark E. T.

Abstract

This paper is concerned with the planning of multiple-leg journeys using public transport services, typically (but not necessarily) in an intra-urban context. The repertoire of transport services may include walking, fixed-route public transport, and demand-responsive modes such as taxis. A journey-planning problem is defined by a request to travel at minimal generalised cost from a given origin to a given destination, subject to timing constraints. The paper presents a comprehensive cost-minimising formulation for such problems, allowing for the possibility of non-linear generalised-cost functions. An optimisation procedure is outlined for problems involving an "early-departure" style of travel. The new procedure is based on Dijkstra's label-setting shortest-path algorithm, and can be inverted to meet the needs of a "late-arrival" style of travel. An adaptation to a dilatory or "sightseeing" style of travel is also possible, but may be problematic with respect to computational performance.

Suggested Citation

  • Horn, Mark E. T., 2003. "An extended model and procedural framework for planning multi-modal passenger journeys," Transportation Research Part B: Methodological, Elsevier, vol. 37(7), pages 641-660, August.
  • Handle: RePEc:eee:transb:v:37:y:2003:i:7:p:641-660
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    References listed on IDEAS

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    1. Spiess, Heinz & Florian, Michael, 1989. "Optimal strategies: A new assignment model for transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 83-102, April.
    2. Horn, M. E. T., 2002. "Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 167-188, February.
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    Cited by:

    1. Zhang, Yu & Tang, Jiafu, 2018. "A robust optimization approach for itinerary planning with deadline," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 56-74.
    2. Andrew Ensor & Felipe Lillo, 2016. "Colored-Edge Graph Approach for the Modeling of Multimodal Transportation Systems," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(01), pages 1-21, February.
    3. Makoto Tsukai & Makoto Okumura, 2005. "Spatial externality of railway service improvement - To understand the Japanese inter-regional transportation service improvements," ERSA conference papers ersa05p416, European Regional Science Association.
    4. Caramia, M. & Guerriero, F., 2009. "A heuristic approach to long-haul freight transportation with multiple objective functions," Omega, Elsevier, vol. 37(3), pages 600-614, June.
    5. Christoph Willing & Tobias Brandt & Dirk Neumann, 2017. "Electronic mobility market platforms – a review of the current state and applications of business analytics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 267-282, August.
    6. Androutsopoulos, Konstantinos N. & Zografos, Konstantinos G., 2009. "Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network," European Journal of Operational Research, Elsevier, vol. 192(1), pages 18-28, January.
    7. Zhang, Yu & Tang, Jiafu, 2018. "Itinerary planning with time budget for risk-averse travelers," European Journal of Operational Research, Elsevier, vol. 267(1), pages 288-303.
    8. Häme, Lauri & Hakula, Harri, 2013. "Dynamic journeying under uncertainty," European Journal of Operational Research, Elsevier, vol. 225(3), pages 455-471.
    9. Garaix, Thierry & Artigues, Christian & Feillet, Dominique & Josselin, Didier, 2010. "Vehicle routing problems with alternative paths: An application to on-demand transportation," European Journal of Operational Research, Elsevier, vol. 204(1), pages 62-75, July.
    10. Linzhong Liu & Haibo Mu & Juhua Yang, 2017. "Toward algorithms for multi-modal shortest path problem and their extension in urban transit network," Journal of Intelligent Manufacturing, Springer, vol. 28(3), pages 767-781, March.

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