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Deterministic and Stochastic Simulation: A Combined Approach to Passenger Routing in Railway Systems

In: Operations Research Proceedings 2019

Author

Listed:
  • Gonzalo Barbeito

    (Universität der Bundeswehr München)

  • Maximilian Moll

    (Universität der Bundeswehr München)

  • Wolfgang Bein

    (University of Nevada)

  • Stefan Pickl

    (Universität der Bundeswehr München)

Abstract

Passenger routing in railway systems has traditionally relied on fixed timetables, working under the assumption that actual performance always matches the planned schedules. The complex variable interplay found in railway networks, however, make it practically impossible for trains to systematically hold the designed timetables as delays are a common occurrence in these systems. A more sensible approach to passenger routing involves assessing the probability distributions that characterize the system and consider them in the routing recommendation. This paper describes one such approach using a simulation model working under both deterministic and stochastic conditions and describes the weak points of a deterministic routing strategy in a complex system.

Suggested Citation

  • Gonzalo Barbeito & Maximilian Moll & Wolfgang Bein & Stefan Pickl, 2020. "Deterministic and Stochastic Simulation: A Combined Approach to Passenger Routing in Railway Systems," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 659-665, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_80
    DOI: 10.1007/978-3-030-48439-2_80
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