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037 | _ | _ | |a FZJ-2019-05415 |
100 | 1 | _ | |a Tordeux, Antoine |0 P:(DE-Juel1)159135 |b 0 |e Corresponding author |
111 | 2 | _ | |a Traffic and Granular Flow 2017 |g TGF'17 |c Washington |d 2017-07-19 - 2017-07-22 |w USA |
245 | _ | _ | |a Noise-Induced Stop-and-Go Dynamics |
260 | _ | _ | |a Cham |c 2019 |b Springer International Publishing |
295 | 1 | 0 | |a Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor) ; Cham : Springer International Publishing, 2019, Chapter 37 |
300 | _ | _ | |a 337-345 |
336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
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520 | _ | _ | |a 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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700 | 1 | _ | |a Lassarre, Sylvain |0 P:(DE-HGF)0 |b 2 |
773 | _ | _ | |a 10.1007/978-3-030-11440-4_37 |
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