Emergence of collective oscillations in massive human crowds

Dense crowds form some of the most dangerous environments in modern society<sup>1</sup>. Dangers arise from uncontrolled collective motions, leading to compression against walls, suffocation and fatalities<sup>2-4</sup>. Our current understanding of crowd dynamics primarily relies on heuristic collision models, which effectively capture the behaviour observed in small groups of people<sup>5,6</sup>. However, the emergent dynamics of dense crowds, composed of thousands of individuals, remains a formidable many-body problem lacking quantitative experimental characterization and explanations rooted in first principles. Here we analyse the dynamics of thousands of densely packed individuals at the San Fermín festival (Spain) and infer a physical theory of dense crowds in confinement. Our measurements reveal that dense crowds can self-organize into macroscopic chiral oscillators, coordinating the orbital motion of hundreds of individuals without external guidance. Guided by these measurements and symmetry principles, we construct a mechanical model of dense-crowd motion. Our model demonstrates that emergent odd frictional forces drive a non-reciprocal phase transition<sup>7</sup> towards collective chiral oscillations, capturing all our experimental observations. To test the robustness of our findings, we show that similar chiral dynamics emerged at the onset of the 2010 Love Parade disaster and propose a protocol that could help anticipate these previously unpredictable dynamics.

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Publication Details

Journal
Nature
Published
2025-02-05
DOI
https://doi.org/10.1038/s41586-024-08514-6
Citations
45
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
51.54
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article

Emergence of collective oscillations in massive human crowds

Nicolas Bain, Benjamin Guiselin, Denis Bartolo, Iker Zuriguel et al.
45 citations
Nature
Evacuation and Crowd Dynamics
51.54
article

Emergence of collective oscillations in massive human crowds

Nicolas Bain, Benjamin Guiselin, Denis Bartolo, Iker Zuriguel, François Gu
article en
45 citations

Abstract

Dense crowds form some of the most dangerous environments in modern society<sup>1</sup>. Dangers arise from uncontrolled collective motions, leading to compression against walls, suffocation and fatalities<sup>2-4</sup>. Our current understanding of crowd dynamics primarily relies on heuristic collision models, which effectively capture the behaviour observed in small groups of people<sup>5,6</sup>. However, the emergent dynamics of dense crowds, composed of thousands of individuals, remains a formidable many-body problem lacking quantitative experimental characterization and explanations rooted in first principles. Here we analyse the dynamics of thousands of densely packed individuals at the San Fermín festival (Spain) and infer a physical theory of dense crowds in confinement. Our measurements reveal that dense crowds can self-organize into macroscopic chiral oscillators, coordinating the orbital motion of hundreds of individuals without external guidance. Guided by these measurements and symmetry principles, we construct a mechanical model of dense-crowd motion. Our model demonstrates that emergent odd frictional forces drive a non-reciprocal phase transition<sup>7</sup> towards collective chiral oscillations, capturing all our experimental observations. To test the robustness of our findings, we show that similar chiral dynamics emerged at the onset of the 2010 Love Parade disaster and propose a protocol that could help anticipate these previously unpredictable dynamics.

NatureVol. 638(8049)
Université Claude Bernard Lyon 1 (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Laboratoire de Physique de l'ENS de Lyon (FR), Institut Lumière Matière (FR), Universidad de Navarra (ES)
Openalex Percentile: Top 0%
Evacuation and Crowd Dynamics
51.54
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