Noise-Induced Stop-and-Go Dynamics

Tordeux, Antoine; Schadschneider, Andreas; Lassarre, Sylvain

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

Contribution to a conference proceedings/Contribution to a book

FZJ-2019-05415

Noise-Induced Stop-and-Go Dynamics

Tordeux, A. (Corresponding author)FZJ* ; Schadschneider, A. ; Lassarre, S.

2019
Springer International Publishing Cham

Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor) ; Cham : Springer International Publishing, 2019, Chapter 37
Traffic and Granular Flow 2017, TGF'17, Washington, USA, 19 Jul 2017 - 22 Jul 2017 Cham : Springer International Publishing 337-345 (2019) [10.1007/978-3-030-11440-4_37]

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Please use a persistent id in citations: http://hdl.handle.net/2128/23262 doi:10.1007/978-3-030-11440-4_37

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-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.

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