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024 7 _ |a 10.1007/978-3-030-11440-4_37
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024 7 _ |a 2128/23262
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024 7 _ |a WOS:000653682700037
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037 _ _ |a FZJ-2019-05415
100 1 _ |a Tordeux, Antoine
|0 P:(DE-Juel1)159135
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|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
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336 7 _ |a Conference Paper
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336 7 _ |a Contribution to a book
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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.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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700 1 _ |a Schadschneider, Andreas
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700 1 _ |a Lassarre, Sylvain
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773 _ _ |a 10.1007/978-3-030-11440-4_37
856 4 _ |y OpenAccess
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914 1 _ |y 2019
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