This title appears in the Scientific Report :
2019
Please use the identifier:
http://hdl.handle.net/2128/23262 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-11440-4_37 in citations.
Noise-Induced Stop-and-Go Dynamics
Noise-Induced Stop-and-Go Dynamics
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-an...
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Personal Name(s): | Tordeux, Antoine (Corresponding author) |
---|---|
Schadschneider, Andreas / Lassarre, Sylvain | |
Contributing Institute: |
Zivile Sicherheitsforschung; IAS-7 |
Published in: |
Traffic and Granular Flow '17 / Hamdar, Samer H. (Editor) ; Cham : Springer International Publishing, 2019, Chapter 37 |
Imprint: |
Cham
Springer International Publishing
2019
|
Physical Description: |
337-345 |
DOI: |
10.1007/978-3-030-11440-4_37 |
Conference: | Traffic and Granular Flow 2017, Washington (USA), 2017-07-19 - 2017-07-22 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-11440-4_37 in citations.
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. |