TY  - CONF
AU  - Tordeux, Antoine
AU  - Schadschneider, Andreas
AU  - Lassarre, Sylvain
TI  - Noise-Induced Stop-and-Go Dynamics
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2019-05415
SP  - 337-345
PY  - 2019
AB  - 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.
T2  - Traffic and Granular Flow 2017
CY  - 19 Jul 2017 - 22 Jul 2017, Washington (USA)
Y2  - 19 Jul 2017 - 22 Jul 2017
M2  - Washington, USA
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000653682700037
DO  - DOI:10.1007/978-3-030-11440-4_37
UR  - https://juser.fz-juelich.de/record/866249
ER  -