Premium
Psychological model for animating crowded pedestrians
Author(s) -
Sakuma Takeshi,
Mukai Tomohiko,
Kuriyama Shigeru
Publication year - 2005
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.105
Subject(s) - computer science , pedestrian , macro , space (punctuation) , social force model , personal space , crowd psychology , variety (cybernetics) , graph , virtual reality , crowd simulation , crowds , human–computer interaction , motion (physics) , virtual space , artificial intelligence , simulation , computer vision , psychology , theoretical computer science , social psychology , computer security , transport engineering , engineering , programming language , operating system
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.