Spontaneous behavioral coordination between avoiding pedestrians requires mutual anticipation rather than mutual gaze

H Murakami, T Tomaru, C Feliciani, Y Nishiyama - Iscience, 2022 - cell.com
Pedestrians threading through a crowd is a striking example of coordinated actions. Mutual
anticipation between pedestrians is a candidate mechanism underlying such coordination …

Self-organisation phenomena in pedestrian counter flows and its modelling

W **e, EWM Lee, YY Lee - Safety science, 2022 - Elsevier
We implement avoidance and following behaviour in a force-based model (AFFM) to
develop realistic simulations of pedestrian counter flows. Using this innovative approach, we …

Quantifying crowding perception at large events using beacons and surveys

S Tanida, H Kim, C Feliciani, X Jia, A Takahashi… - Scientific Reports, 2025 - nature.com
Given the increasing urban population and frenetic mobility, understanding how individuals
perceive crowding at large-scale events is crucial for effective crowd management and …

Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the F\^ ete des Lumi\eres in Lyon

O Dufour, HT Dang, J Cordes, R Korbmacher… - arxiv preprint arxiv …, 2024 - arxiv.org
We present one of the first comprehensive field datasets capturing dense pedestrian
dynamics across multiple scales, ranging from macroscopic crowd flows over distances of …

Experimental Study of Pedestrian Crossing Mechanism in Crowds

J Wang, W Lv, Y Jiang - International Conference on Traffic and Granular …, 2022 - Springer
Pedestrian crossing behavior is ubiquitous, while relevant studies are limited. In this paper,
a series of supervised experiments are conducted to explore the movement characteristics …

[PDF][PDF] Oscar Dufour1, Huu-Tu Dang2, Jakob Cordes3, 5, Raphael Korbmacher4, Mohcine

B Gaudou, A Nicolas, A Tordeux - Methods - researchgate.net
The dynamics of dense crowds have received considerable attention from researchers
seeking fundamental understanding or aiming to develop data-driven algorithms to predict …