Psychological model for animating crowded pedestrians

This paper proposes 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 structur...

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Bibliographic Details
Published in:Computer animation and virtual worlds 2005-07, Vol.16 (3-4), p.343-351
Main Authors: Sakuma, Takeshi, Mukai, Tomohiko, Kuriyama, Shigeru
Format: Article
Language:English
Subjects:
crowd simulation
locomotion graph
personal space
psychological model
virtual memory
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Summary:This paper proposes 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 can increase the accuracy of simulation at both the micro and macro levels. Copyright © 2005 John Wiley & Sons, Ltd.
ISSN:1546-4261
1546-427X
DOI:10.1002/cav.105