An improved social force model of emergency crowd evacuation considering the spread of mass panic in metro stations

meng liu; Shufeng Yang

doi:10.1117/12.3012038

7 December 2023 An improved social force model of emergency crowd evacuation considering the spread of mass panic in metro stations

meng liu, Shufeng Yang

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129414C (2023) https://doi.org/10.1117/12.3012038
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

With the rapid development of rail transit in various countries, metro has become an important means of daily travel. In the event of an emergency at the local railway station, how to quickly and safely evacuate pedestrian from the platform to a safe area is a problem worthy of further study. Considering pedestrian panic and its propagation, dynamic panic values are defined, and the expected speed and direction of mass movement in SFM are improved. Then, the crowd evacuation model in the subway transfer station is established based on the improved social force model. Finally, using Anylogic simulation platform, a complete micro simulation model and pedestrian evacuation process of Shenyang North Railway Station were established. The simulation results show that considering pedestrian panic and propagation, the evacuation model established in this paper can better reflect the real situation of subway pedestrian evacuation. The research results will provide effective help for the rail transit operation management department of subway station to understand the characteristics of group evacuation behavior and provide an important basis for the operation management and emergency evacuation guidance of subway hub station.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

meng liu and Shufeng Yang "An improved social force model of emergency crowd evacuation considering the spread of mass panic in metro stations", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129414C (7 December 2023); https://doi.org/10.1117/12.3012038

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KEYWORDS

Emotion

Atomic force microscopy

Factor analysis

Modeling

Psychology

Reflection

Statistical analysis

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