Noise-Induced Stop-and-Go Dynamics

Antoine Tordeux (), Andreas Schadschneider () and Sylvain Lassarre ()
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Antoine Tordeux: Forschungszentrum Jülich
Andreas Schadschneider: University of Cologne
Sylvain Lassarre: IFSTTAR COSYS GRETTIA

A chapter in Traffic and Granular Flow '17, 2019, pp 337-345 from Springer

Abstract: 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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_37

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DOI: 10.1007/978-3-030-11440-4_37

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