Simulation of luggage-laden passengers’ behavior in the evacuation process based on a floor field CA model case study: Tehran metro-rail transfer corridor

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Fatemeh Jahedinia, M. Bagheri, A. Naderan, Zahra Bahramian
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引用次数: 3

Abstract

Passengers’ safety against unexpected incidents such as rail stations’ fire accidents is essential in the safety field. The presence of luggage with passengers occupies extra space, diminishes passenger’s velocity in high densities, and consequently increases the evacuation time. Therefore, studying the mixture of luggage-laden passengers with non-luggage-laden passengers during the emergency evacuation time of a rail station is vital. In this paper, a simulation of a metro-rail transfer station using an extended cellular automata (CA) model is used to illustrate the importance of this consideration. In this model, luggage-laden passengers and non-luggage-laden passengers are defined as two-cell and one-cell groups, respectively. Specific parameters for luggage-laden passengers in minimum wall prevention and velocity are used. Also, the volume of each passenger group is extracted from the Wi-Fi scanners during the busiest time of the normal station operational hours due to metro and railway schedules. The simulation is carried out using the Python programming language. Fourteen scenarios that vary in their impact on the three classifications of station infrastructure, station equipment, and management’s approach are presented. The analysis indicates that approximately 28% of passengers, or 236 passengers, will not be evacuated in the time period predicted by the simulation if the luggage is not considered. Interestingly, resizing retail stores in the corridor reduced emergency evacuation times by 6.3%, the equivalent of removing them. Failures in the two escalators affect an 8% and 9.4% increase in emergency evacuation time and cause 28 and 46 more passengers to be trapped, respectively. Although the construction of the second railway entrance corridor has been suspended, results indicate that it will save 67 passengers and reduce evacuation time by 9.5%.
基于层场CA模型的行李乘客疏散行为模拟——以德黑兰地铁换乘走廊为例
铁路车站火灾等突发事件对乘客安全的影响是安全领域的核心问题。旅客行李的存在占用了额外的空间,降低了高密度旅客的速度,从而增加了疏散时间。因此,研究铁路车站紧急疏散期间行李乘客与非行李乘客的混合情况具有重要意义。本文利用扩展元胞自动机(CA)模型对地铁轨道换乘站进行了仿真,说明了这一考虑的重要性。在该模型中,将携带行李的乘客和不携带行李的乘客分别定义为两个单元组和一个单元组。在最小壁防和速度方面使用了载运行李乘客的特定参数。此外,由于地铁和铁路时刻表的原因,在车站正常运营的最繁忙时间,每个乘客群体的数量都是从Wi-Fi扫描仪中提取出来的。采用Python编程语言进行仿真。提出了14种不同的情景,它们对车站基础设施、车站设备和管理方法的三种分类有不同的影响。分析表明,如果不考虑行李,在模拟预测的时间内,大约28%的乘客,即236名乘客将不会被疏散。有趣的是,调整走廊内零售商店的规模可以减少6.3%的紧急疏散时间,相当于拆除它们。两部自动扶梯故障导致紧急疏散时间分别增加8%和9.4%,并分别造成28名和46名乘客被困。虽然铁路第二出入口走廊的建设已经暂停,但结果表明,它将节省67名乘客,并减少9.5%的疏散时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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