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20082026
most citedGeneralized Centrifugal Force Model for Pedestrian Dynamics

368 citations · 672 across the 30 of their papers we have counts for

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physics.soc-ph2026

A well-motivated model of pedestrian dynamics

Ezel Üsten, Anna Sieben, Mohcine Chraibi +1

In pedestrian dynamics, the internal drive that propels individuals toward their goals is typically captured by a single, fixed parameter, the desired walking speed. This simplific…

physics.soc-ph2026

Crowd Dynamics in Historical Perspective: Reframing the Amritsar Massacre through Agent-Based Modelling and Social Psychology

Mohcine Chraibi, Krisztina Konya, Ezel Üsten

Crowds have long held a paradoxical place in the human imagination, feared for their destructive potential yet essential for collective expression. This tension was tragically mani…

physics.soc-ph2026

When legs and bodies synchronize: Two-level collective dynamics in dense crowds

Thomas Chatagnon, Mohcine Chraibi, Julien Pettré +2

Ultra-dense crowds, in which physical contact between people cannot be avoided, pose major safety concerns. Nevertheless, the underlying dynamics driving their collective behaviour…

physics.soc-ph2025★ 1 cited

Exploring Dense Crowd Dynamics: State of the Art and Emerging Paradigms

Thomas Chatagnon, Antoine Tordeux, Mohcine Chraibi

Dense pedestrian crowds may pose significant safety risks, yet their underlying dynamics remain insufficiently understood to reliably prevent accidents. In these environments, phys…

physics.soc-ph2024

Hybrid Machine Learning and Physics-based Modelling of Pedestrian Pushing Behaviours at Bottlenecks

Qiancheng Xu, Ezel Üsten, Ahmed Alia +3

In high-density crowds, close proximity between pedestrians makes the steady state highly vulnerable to disruption by pushing behaviours, potentially leading to serious accidents.…

physics.soc-ph2024

Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the Fête des Lumières in Lyon

Oscar Dufour, Huu-Tu Dang, Jakob Cordes +5

We present one of the first comprehensive field datasets capturing dense pedestrian dynamics across multiple scales, ranging from macroscopic crowd flows over distances of several…