Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations - Lab-STICC, Pôle CID, Equipe Interaction Humain Système et Environnement Virtuel (IHSEV), site ENIB
Communication Dans Un Congrès Année : 2012

Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations

Résumé

Do people in a crowd behave like a set of isolated individuals or like a cohesive group? Studies of crowd modeling usually consider pedestrian behavior either from the point of view of an isolated individual or from that of large swarms. We introduce here a study of small crowds walking towards a common goal and propose to make the link between individual behavior and crowd dynamics. Data show that participants, even though not instructed to behave collectively, do form a cohesive group and do not merely treat one another as obstacles. We present qualitative and quantitative measurements of this collective behavior, and propose a first set of patterns characterizing such behavior. This work is part of a wider effort to test crowd models against observed data.
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hal-01169429 , version 1 (29-06-2015)

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Stéphane Bonneaud, Kevin Rio, Pierre Chevaillier, William H Warren. Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations. The 24th International Conference on Computer Animation and Social Agents (CASA 2011), May 2011, Chengdu, China. pp.1--11, ⟨10.1007/978-3-642-29050-3_1⟩. ⟨hal-01169429⟩
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