Giving particles legs: How balance recovery may drive emergent collective dynamics in ultra-dense crowds

Ultra-dense crowds, in which physical contact between individuals cannot be avoided, pose major safety concerns. Nevertheless, the underlying dynamics driving their collective behaviours remain poorly understood. Existing dense crowd models, mostly two-dimensional and contact-based, overlook biomechanical mechanisms that govern human balance motion. In this study, we introduce a minimal two-level pedestrian model that couples upper body and legs dynamics, allowing us to capture how individuals continuously lose and recover balance under physical contact. This coupling generates emergent collective behaviours, such as self‑organised waves and large‑scale rotational motion, which prior modelling attempts failed to achieve. The model bridges basic individual biomechanical concepts and crowd-scale dynamics, offering a new interpretable framework for understanding collective dynamics in ultra-dense crowds.

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Publication Details

Journal
PLOS complex systems.
Published
2026-10-06
DOI
https://doi.org/10.1371/journal.pcsy.0000110
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Giving particles legs: How balance recovery may drive emergent collective dynamics in ultra-dense crowds

Mohcine Chraibi, Antoine Tordeux, Thomas Chatagnon, Armin Seyfried et al.
PLOS complex systems.
Evacuation and Crowd Dynamics
article

Giving particles legs: How balance recovery may drive emergent collective dynamics in ultra-dense crowds

Mohcine Chraibi, Antoine Tordeux, Thomas Chatagnon, Armin Seyfried, Julien Pettré
article en

Abstract

Ultra-dense crowds, in which physical contact between individuals cannot be avoided, pose major safety concerns. Nevertheless, the underlying dynamics driving their collective behaviours remain poorly understood. Existing dense crowd models, mostly two-dimensional and contact-based, overlook biomechanical mechanisms that govern human balance motion. In this study, we introduce a minimal two-level pedestrian model that couples upper body and legs dynamics, allowing us to capture how individuals continuously lose and recover balance under physical contact. This coupling generates emergent collective behaviours, such as self‑organised waves and large‑scale rotational motion, which prior modelling attempts failed to achieve. The model bridges basic individual biomechanical concepts and crowd-scale dynamics, offering a new interpretable framework for understanding collective dynamics in ultra-dense crowds.

PLOS complex systems.Vol. 3(10)
University of Wuppertal (DE), Forschungszentrum Jülich (DE), Université Rennes 2 (FR), Université de Rennes (FR)
Openalex Percentile: Top 17%
Evacuation and Crowd Dynamics
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