3D visual simulation of individual and crowd behavior in earthquake evacuation

Liu, Tingting, Liu, Zhen, Ma, Minhua ORCID: https://orcid.org/0000-0001-7451-546X, Chen, Tian, Liu, Cuijuan and Chai, Yanjie (2018) 3D visual simulation of individual and crowd behavior in earthquake evacuation. Simulation: Transactions of the Society for Modeling and Simulation International, 95 (1). pp. 65-81. ISSN 0037-5497

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Abstract / Summary

Simulation of behaviors in emergencies is an interesting subject that helps to understand evacuation processes and to
make contingency plans. Individual and crowd behaviors in the earthquake are different from those under
normal circumstances. Panic will spread in the crowd and cause chaos. Without considering emotion, most existing
behavioral simulation methods analyze the movement of people from the point of view of mechanics. After summarizing
existing studies, a new simulation method is discussed in this paper. First, 3D virtual scenes are constructed with the
proposed platform. Second, an individual cognitive architecture, which integrates perception, motivation, behavior, emotion, and personality, is proposed. Typical behaviors are analyzed and individual evacuation animations are realized with
data captured by motion capture devices. Quantitative descriptions are presented to describe emotional changes in individual evacuation. Facial expression animation is used to represent individuals’ emotions. Finally, a crowd behavior model
is designed on the basis of a social force model. Experiments are carried out to validate the proposed method. Results
showed that individuals’ behavior, emotional changes, and crowd aggregation can be well simulated. Users can learn evacuation processes from many angles. The method can be an intuitional approach to safety education and crowd
management.

Item Type:	Article
Identification Number:	10.1177/0037549717753294
ISSN:	0037-5497
Subjects:	Computing & Data Science Research
Depositing User:	Eunice Ma
Date Deposited:	01 Jul 2020 14:02
Last Modified:	18 Nov 2024 14:24
URI:	https://repository.falmouth.ac.uk/id/eprint/3976

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