3 years ago

Noise-induced Stop-and-Go Dynamics.

Andreas Schadschneider, Sylvain Lassarre, Antoine Tordeux

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-organization 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.

Publisher URL: http://arxiv.org/abs/1801.09791

DOI: arXiv:1801.09791v1

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