Local interactions underlying collective motion in human crowds

Proceedings. Biological Sciences
Kevin RioWilliam H Warren

Abstract

It is commonly believed that global patterns of motion in flocks, schools and crowds emerge from local interactions between individuals, through a process of self-organization. The key to explaining such collective behaviour thus lies in deciphering these local interactions. We take an experiment-driven approach to modelling collective motion in human crowds. Previously, we observed that a pedestrian aligns their velocity vector (speed and heading direction) with that of a neighbour. Here we investigate the neighbourhood of interaction in a crowd: which neighbours influence a pedestrian's behaviour, how this depends on neighbour position, and how the influences of multiple neighbours are combined. In three experiments, a participant walked in a virtual crowd whose speed and heading were manipulated. We find that neighbour influence is linearly combined and decreases with distance, but not with lateral position (eccentricity). We model the neighbourhood as (i) a circularly symmetric region with (ii) a weighted average of neighbours, (iii) a uni-directional influence, and (iv) weights that decay exponentially to zero by 5 m. The model reproduces the experimental data and predicts individual trajectories in observational data on a...Continue Reading

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Citations

Jan 5, 2019·Science·Nicolas Bain, Denis Bartolo
Sep 2, 2020·Behavioral Sciences·Alexandors KoiliasChristos-Nikolaos Anagnostopoulos
Sep 11, 2018·Current Directions in Psychological Science·William H Warren
Jul 4, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Noa Pinter-WollmanStephen M Fiore
Nov 5, 2020·Scientific Reports·Maria LombardiMario di Bernardo
Feb 20, 2021·Light, Science & Applications·Xiaoyun YuanLu Fang
Aug 22, 2021·Neuroscience and Biobehavioral Reviews·Marta M N BieńkiewiczBenoît G Bardy

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