A Study on Crowd Evacuation Model Considering Squeezing Equilibrium in Crowded Areas

Bibliographic Details
Title: A Study on Crowd Evacuation Model Considering Squeezing Equilibrium in Crowded Areas
Authors: Longcheng Yang, Juan Wei, Zhihai Tang, Jun Hu, Zhouyi Hu
Source: Applied Sciences, Vol 13, Iss 1, p 544 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
Subject Terms: crowd evacuation, dense areas, social force models, degree of squeezing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
More Details: A new crowd evacuation model is established to solve the stagnation problem of traditional social force models in a complex and dense scene. In the proposed model the acting forces between pedestrians, and between pedestrians and obstacles in the traditional social force model, are improved to find out the relationship in the two cases which are within the influence range and are not intersected, and those which are intersected and not greater than the maximum degree of squeezing, and to solve it for parameter optimization. The simulation platform built is used to compare the performance of the traditional social force model and the improved model, and to deeply analyze the relationship between the evacuation time and the degree of squeezing. The results show that as the evacuation time increases, the crowd in the emergency exit area is getting denser, the optimized model is distributed more evenly, and the probability of squeezing is lower. The optimized model has better stability in terms of the ability to control the intersection without exceeding the maximum degree of squeezing. Due to less squeezing, the optimized model can reduce the time of passing through the exit to a large extent. Therefore, the way to resolve the disorderly evacuation of pedestrians caused by excessive crowd density in the evacuation process is to solve optimization parameters.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2076-3417
Relation: https://www.mdpi.com/2076-3417/13/1/544; https://doaj.org/toc/2076-3417
DOI: 10.3390/app13010544
Access URL: https://doaj.org/article/2b79648b01624e12abbcc95d5bcec064
Accession Number: edsdoj.2b79648b01624e12abbcc95d5bcec064
Database: Directory of Open Access Journals
More Details
ISSN:20763417
DOI:10.3390/app13010544
Published in:Applied Sciences
Language:English