Noise-Induced Stop-and-Go Dynamics in Pedestrian Single-file Motion


  • Andreas Schadschneider Institut für Theoretische Physik, Universität zu Köln, Cologne, Germany
  • Antoine Tordeux Institut für Sicherheitstechnik, Bergische Universität Wuppertal, Wuppertal, Germany



pedestrian single-file motion, stop-and-go dynamics, first-order microscopic models, coloured noise, simulation


Stop-and-go waves are a common feature of vehicular traffic and have also been observed in pedestrian flows. Usually the occurrence of this self-organization phenomenon is related to an inertia mechanism. It requires fine-tuning of the parameters and is described by instability and phase transitions. Here, we present a novel explanation for stop-and-go waves in pedestrian dynamics based on stochastic effects. By introducing coloured noise in a stable microscopic inertia-free (i.e. first order) model, pedestrian stop-and-go behaviour can be described realistically without requirement of instability and phase transition. We compare simulation results to empirical pedestrian trajectories and discuss plausible values for the model’s parameters.


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How to Cite

Schadschneider, A., & Tordeux, A. (2020). Noise-Induced Stop-and-Go Dynamics in Pedestrian Single-file Motion. Collective Dynamics, 5, 356–363.



Proceedings of Pedestrian and Evacuation Dynamics 2018