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Pré-Publication, Document De Travail Année : 2022

Pedestrians in static crowds are not grains, but game players

Résumé

The short-term (`operational') dynamics of pedestrian crowds are generally thought to involve no anticipation, except perhaps the avoidance of the most imminent collisions. We show that current models rooted in this belief fail to reproduce essential features experimentally observed when a static crowd is crossed by an intruder. We identify the missing ingredient as the pedestrians' ability to plan ahead far enough beyond the next interaction, which explains why instead of walking away from the intruder they accept to temporarily move transversely towards denser regions on the intruder's sides. On this basis, a minimal model based on mean-field game theory proves remarkably successful in capturing the experimental observations associated with this setting, but also other daily-life situations such as partial metro boarding. These findings are clear evidence that a long term game theoretical approach is key to capturing essential elements of the dynamics of crowds.
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Dates et versions

hal-03533131 , version 1 (20-01-2022)
hal-03533131 , version 2 (08-03-2022)
hal-03533131 , version 3 (21-07-2022)

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Thibault Bonnemain, Matteo Butano, Théophile Bonnet, Iñaki Echeverría-Huarte, Antoine Seguin, et al.. Pedestrians in static crowds are not grains, but game players. 2022. ⟨hal-03533131v2⟩
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