ArticleProceedings. Biological sciences2018
Local interactions underlying collective motion in human crowds.
Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Nonverbal leadership emergence in walking groups.Scientific reports · 2020Trial
- Dynamical Cognitive Science! Wherefore Art Thou?Topics in cognitive science · 2026Article
- Alignment phase transition in socially driven motion.Science advances · 2026Article
- Quantifying Information Exchange Between Cells in Inflammaging.Bioengineering (Basel, Switzerland) · 2026Article
- Higher order affordances.Psychonomic bulletin & review · 2025Review
- Places for reasoning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- A potential mechanism for Gibsonian resonance: behavioral entrainment emerges from local homeostasis in an unsupervised reservoir network.Cognitive neurodynamics · 2024Article
- Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
- Embryos assist morphogenesis of others through calcium and ATP signaling mechanisms in collective teratogen resistance.Nature communications · 2024Article
- Tuning social interactions' strength drives collective response to light intensity in schooling fish.PLoS computational biology · 2023Article
- Article
- Eye contact avoidance in crowds: A large wearable eye-tracking study.Attention, perception & psychophysics · 2022Article
- Collective dynamics support group drumming, reduce variability, and stabilize tempo drift.eLife · 2022Article
- How people with disabilities influence crowd dynamics of pedestrian movement through bottlenecks.Scientific reports · 2022Article
- Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of 'stripe' formation in human data.PLoS computational biology · 2022Article
- The visual coupling between neighbours explains local interactions underlying human 'flocking'.Proceedings. Biological sciences · 2022Article
- The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model.PLoS computational biology · 2022Article
- Robust weighted averaging accounts for recruitment into collective motion in human crowds.Frontiers in applied mathematics and statistics · 2021Article
- Exit choice during evacuation is influenced by both the size and proportion of the egressing crowd.Physica A · 2021Article
- Unifying Large- and Small-Scale Theories of Coordination.Entropy (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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 human 'swarm'. The results yield the first bottom-up model of collective crowd motion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.