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Modeling Subway Networks and Passenger Flows

Authors Antoine Thébault , Loïc Hélouët , Kenza Saiah

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OASIcs.ATMOS.2024.16.pdf
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Author Details

Antoine Thébault
  • Univ. Rennes, IRISA, CNRS & INRIA, Rennes, France
  • Alstom Transport, Saint-Ouen, France
Loïc Hélouët
  • Univ. Rennes, IRISA, CNRS & INRIA, Rennes, France
Kenza Saiah
  • Alstom Transport, Saint-Ouen, France

Funding

Work supported by ANRT CIFRE Grant No 2022-0444.

Cite As Get BibTex

Antoine Thébault, Loïc Hélouët, and Kenza Saiah. Modeling Subway Networks and Passenger Flows. In 24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2024). Open Access Series in Informatics (OASIcs), Volume 123, pp. 16:1-16:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/OASIcs.ATMOS.2024.16

Abstract

Simulation of urban rail networks provides useful information to optimize traffic management strategies w.r.t. goals such as satisfaction of passenger demands, adherence to schedules or energy saving. Many network models are too precise for the analysis needs, and do not exploit concurrency. This results in an explosion in the size of models, and long simulation times. This paper presents an extension of Petri nets that handles trajectories of trains, passenger flows, and scenarios for passenger arrivals. We then define a fast event-based simulation scheme. We test our model on a real case study, the Metro of Montreal, and show that full days of train operations with passengers can be simulated in a few seconds, allowing analysis of quantitative properties.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Modeling and simulation
Keywords
  • Subways
  • Passenger Flows
  • Modelization
  • Petri-Nets
  • Trajectory-Nets

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