2010/03/19 by Mehdi Moussaid, Mehdi Moussaïd, Niriaska Perozo +4 · 1,112 citations
Engineering · Physics and Astronomy · Psychology · #Artificial intelligence #Computer science #Dynamics (music) #Evacuation and Crowd Dynamics #Geography #Group (periodic table) #Motion (physics) #Pedestrian #Physics #Psychology #Social dynamics #Social group #Social psychology #Stairs #Traffic and Road Safety #Traffic control and management #physics.soc-ph
paper · pdf · doi:10.1371/journal.pone.0010047
published in PLoS ONE 5(4), e10047 (Public Library of Science) · 18 pages; 6 figures; Accepted for publication in PLoS ONE
arxiv created 2010/03/19 · openalex publication_date 2010/04/07 · arxiv updated 2015/05/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/08
Human crowd motion is mainly driven by self-organized processes based on local interactions among pedestrians. While most studies of crowd behaviour consider only interactions among isolated individuals, it turns out that up to 70% of people in a crowd are actually moving in groups, such as friends, couples, or families walking together. These groups constitute medium-scale aggregated structures and their impact on crowd dynamics is still largely unknown. In this work, we analyze the motion of approximately 1500 pedestrian groups under natural condition, and show that social interactions among group members generate typical group walking patterns that influence crowd dynamics. At low density, group members tend to walk side by side, forming a line perpendicular to the walking direction. As the density increases, however, the linear walking formation is bent forward, turning it into a V-like pattern. These spatial patterns can be well described by a model based on social communication between group members. We show that the V-like walking pattern facilitates social interactions within the group, but reduces the flow because of its "non-aerodynamic" shape. Therefore, when crowd density increases, the group organization results from a trade-off between walking faster and facilitating social exchange. These insights demonstrate that crowd dynamics is not only determined by physical constraints induced by other pedestrians and the environment, but also significantly by communicative, social interactions among individuals.