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.
雑誌名
Computer Animation and Virtual Worlds (Special issue CASA 2005)
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casa2005-0343
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機関リポジトリ概要
