Crowd Evacuation Model Based on Improved PSO Algorithm

Authors

Changhua Li, School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Chenggong Bi, School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Zhijie Li, School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China;

Abstract

Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the exit location. The experimental results show that the evacuation model is effective, and can avoid local congestion, provides reasonable reference to the architectural design and management.

Recommended Citation

Li, Changhua; Bi, Chenggong; and Li, Zhijie (2020) "Crowd Evacuation Model Based on Improved PSO Algorithm," Journal of System Simulation: Vol. 32: Iss. 6, Article 3.
DOI: 10.16182/j.issn1004731x.joss.18-0782
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss6/3

First Page

1000

Revised Date

2019-02-02

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0782

Last Page

1008

CLC

TP391.9

Recommended Citation

Li Changhua, Bi Chenggong, Li Zhijie. Crowd Evacuation Model Based on Improved PSO Algorithm[J]. Journal of System Simulation, 2020, 32(6): 1000-1008.

DOI

10.16182/j.issn1004731x.joss.18-0782