Psychology-based Crowd Simulation

Psychological Model for Animating Crowded Pedestrians

Takeshi Sakuma, Tomohiko Mukai, and Shigeru Kuriyama



This projects develops a psychological model for simulating pedestrian behaviors in a crowded space. Our decision-making scheme controls plausible avoidance behavior depending on the positional relations among surrounding persons, on the basis of a two-stage personal space and a virtual memory structure as proposed in social psychology. Our system determines pedestrian walking speed with the crowd density to imitate the measured data in urban engineering, and automatically generates plausible motions of the individual pedestrian by composing a locomotion graph with motion capture data. Our approach based on psychology and a variety of actual measurements ensures the accuracy of simulation at both the micro and macro levels.


  1. Takeshi Sakuma, Tomohiko Mukai, and Shigeru Kuriyama, "Psychological Model for Animating Crowded Pedestrians", Computer Animation & Virtual Worlds (Proc. CASA 2005), Vol.16, pp.343-351, 2005.9
    paper (PDF: 771KB, preprint)
    presentation slide (PowerPoint(zip): 6.9MB, without movies)


QuickTime movie
Demonstration for CASA2005

QuickTime: 14 MB, No Audio
320×240, 3:05

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Last modified: 2005/10/20
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