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Modeling Crowd Evacuation via Behavioral Heterogeneity-Based Social Force Model.

Authors :
Wu, Wenhan
Li, Jinghai
Yi, Wenfeng
Zheng, Xiaoping
Source :
IEEE Transactions on Intelligent Transportation Systems; Sep2022, Vol. 23 Issue 9, p15476-15486, 11p
Publication Year :
2022

Abstract

With the increasing scale of crowds in public places, the study of modeling crowd evacuation has become a significant research field. However, most previous research ignores to incorporate behavioral heterogeneity of individuals into the modeling framework, making it hard to replicate more realistic evacuation processes. Therefore, a behavioral heterogeneity-based social force model (BHSFM) is proposed to reveal the heterogeneity characteristics from the aspect of individual behavior. Numerical experiments show that the BHSFM provides a general mathematical framework for describing behavioral heterogeneity and forms a more reasonable and elaborate evacuation process. Notably, some interesting evacuation phenomena can emerge by integrating the behavioral heterogeneity coefficient with temporal-spatial dynamic risk indexes. Compared with the social force model (SFM), higher frequencies of small-scale displacements are performed by BHSFM due to more pushing behaviors. Furthermore, the periods and areas of a potential crowd disaster are revealed by our model under different numbers of pedestrians, which has important guiding significance for formulating reasonable evacuation schemes in specific scenarios. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15249050
Volume :
23
Issue :
9
Database :
Complementary Index
Journal :
IEEE Transactions on Intelligent Transportation Systems
Publication Type :
Academic Journal
Accession number :
159209282
Full Text :
https://doi.org/10.1109/TITS.2022.3140823