障碍物对紧急情况下疏散效率的影响分析

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
Heng Niu, Yuanyuan Zhang, Liang Li, Yanbin Han, Qingtao Hou and Sijie Niu
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引用次数: 0

摘要

拥堵是影响紧急情况下疏散效率的因素之一。在本研究中,我们主要通过在出口附近设置障碍来缩短总疏散时间(TET)。为此,我们在原有社会力模型的基础上增加了基于概率的避障策略,以模拟行人的避障行为。利用该模型,我们分析了障碍物的数量、位置及其与出口墙壁的距离对 TET 的影响。此外,我们还讨论了出口处的平均密度与 TET 之间的关系,这表明人群分流是缓解拥堵和缩短 TET 的有效方法。模拟结果表明,通过在出口附近合理设置障碍,可以提高疏散效率。这项研究可为紧急疏散过程中的人群管理提供一些指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the effect of obstacles on evacuation efficiency in emergencies
Congestion is one of the factors that affects evacuation efficiency in emergencies. In this study, we focus on shortening the total evacuation time (TET) by setting obstacles near the exit. For this purpose, we add a probability-based obstacle avoidance strategy to modify the original social force model to simulate pedestrians’ obstacle avoidance behaviour. Using the model, we analyse the influence of the number of obstacles, their position and their distance to the wall with the exit on the TET. In addition, we discuss the relationship between the average density at the exit and the TET, which shows that crowd diversion is an effective method to alleviate congestion and shorten the TET. The simulation results show that the evacuation efficiency can be improved by reasonably setting obstacles near the exit. This study can provide some guidance for the management of crowds during emergency evacuations.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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