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Noise-Induced Stop-and-Go Dynamics

In: Traffic and Granular Flow '17

Author

Listed:
  • Antoine Tordeux

    (Forschungszentrum Jülich
    University of Wuppertal)

  • Andreas Schadschneider

    (University of Cologne)

  • Sylvain Lassarre

    (IFSTTAR COSYS GRETTIA)

Abstract

Stop-and-go waves are commonly observed in traffic and pedestrian flows. In traffic theory, they are described by phase transitions of metastable models. The self-organisation phenomenon occurs due to inertia mechanisms but requires fine tuning of the parameters. Here, a novel explanation for stop-and-go waves based on stochastic effects is presented for pedestrian dynamics. We show that the introduction of specific coloured noises in a stable microscopic model allows to describe realistic pedestrian stop-and-go behaviour without requirement of metastability and phase transition. We compare simulation results of the stochastic model to real pedestrian trajectories and discuss plausible values for the model’s parameters.

Suggested Citation

  • Antoine Tordeux & Andreas Schadschneider & Sylvain Lassarre, 2019. "Noise-Induced Stop-and-Go Dynamics," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 337-345, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-11440-4_37
    DOI: 10.1007/978-3-030-11440-4_37
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