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000866249 1001_ $$0P:(DE-Juel1)159135$$aTordeux, Antoine$$b0$$eCorresponding author
000866249 1112_ $$aTraffic and Granular Flow 2017$$cWashington$$d2017-07-19 - 2017-07-22$$gTGF'17$$wUSA
000866249 245__ $$aNoise-Induced Stop-and-Go Dynamics
000866249 260__ $$aCham$$bSpringer International Publishing$$c2019
000866249 29510 $$aTraffic and Granular Flow '17 / Hamdar, Samer H. (Editor)   ; Cham : Springer International Publishing, 2019, Chapter 37 
000866249 300__ $$a337-345
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000866249 520__ $$aStop-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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000866249 7001_ $$0P:(DE-HGF)0$$aSchadschneider, Andreas$$b1
000866249 7001_ $$0P:(DE-HGF)0$$aLassarre, Sylvain$$b2
000866249 773__ $$a10.1007/978-3-030-11440-4_37
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