Individual-based crowd dynamics with social interaction

This paper considers individual-based crowd dynamics with social interaction. The investigation entails interpreting pedestrians as active particles. Besides the mechanical variables, typically position and velocity, an activity variable is introduced into the modeling framework, which represents the evolving psychological states of pedestrians. The dynamics of the activity variable can interact with that of the mechanical variables thus affecting the interaction rules. This approach is useful for describing heterogeneous behavioral features in crowds, especially, the dynamics of pedestrians with evolving psychological states.

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Publication Details

Journal
Mathematical Models and Methods in Applied Sciences
Published
2025-04-19
DOI
https://doi.org/10.1142/s0218202525400081
Citations
4
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
4.58

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article

Individual-based crowd dynamics with social interaction

Jie Liao, Damián Knopoff, Xiongfeng Yang, Q. M. Ma
4 citations
Mathematical Models and Methods in Applied Sciences
Evacuation and Crowd Dynamics
4.58
article

Individual-based crowd dynamics with social interaction

Jie Liao, Damián Knopoff, Xiongfeng Yang, Q. M. Ma
article en
4 citations

Abstract

This paper considers individual-based crowd dynamics with social interaction. The investigation entails interpreting pedestrians as active particles. Besides the mechanical variables, typically position and velocity, an activity variable is introduced into the modeling framework, which represents the evolving psychological states of pedestrians. The dynamics of the activity variable can interact with that of the mechanical variables thus affecting the interaction rules. This approach is useful for describing heterogeneous behavioral features in crowds, especially, the dynamics of pedestrians with evolving psychological states.

Mathematical Models and Methods in Applied SciencesVol. 35(07)
Universidad de Deusto (ES), Shanghai University of Finance and Economics (CN), Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Evacuation and Crowd Dynamics
4.58
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