Accounting for patterns of collective behavior in crowd locomotor dynamics for realistic simulations

Authors:
Stéphane Bonneaud;Kevin Rio;Pierre Chevaillier;William H. Warren
Affiliations:
Dept. of Cognitive, Linguistic and Psychological Sciences, Brown University;Dept. of Cognitive, Linguistic and Psychological Sciences, Brown University;LISYC: Laboratory of Computer Science for Complex Systems, ENIB-UEB, France;Dept. of Cognitive, Linguistic and Psychological Sciences, Brown University
Venue:
Transactions on Edutainment VII
Year:
2012

Citing 9
Cited 0

Intelligence without representation

Artificial Intelligence
A mathematical model for the behavior of pedestrians

Behavioral Science
Hierarchical Model for Real Time Simulation of Virtual Human Crowds

IEEE Transactions on Visualization and Computer Graphics
Modifications of the Helbing-Molnár-Farkas-Vicsek Social Force Model for Pedestrian Evolution

Simulation
Psychological model for animating crowded pedestrians: Virtual Humans and Social Agents

Computer Animation and Virtual Worlds - CASA 2005
Group behavior from video: a data-driven approach to crowd simulation

SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Crowd Simulation

Crowd Simulation
Challenges in Crowd Simulation

CW '09 Proceedings of the 2009 International Conference on CyberWorlds
A spatial cognitive map and a human-like memory model dedicated to pedestrian navigation in virtual urban environments

SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.