Emergency exit layout planning using optimization and agent-based simulation

IF 1.3 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
Maren S. Barth, Katharina Palm, Henrik Andersson, Tobias A. Granberg, Anders N. Gullhav, Andreas Krüger
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引用次数: 0

Abstract

Abstract Evacuation preparedness includes ensuring proper infrastructure, resources and planning for moving people from a dangerous area to safety. This is especially important and challenging during mass gatherings, such as large concerts. In this paper, we present the Emergency Exit Layout Problem (EELP) which is the problem of locating a given number of emergency exits and deciding their width such that the time it takes to evacuate the crowd from an arena is minimized. The EELP takes into account the geography of the arena and its surroundings, as well as the number of pedestrians in the crowd and the distribution of these within the arena. The EELP is formulated as a two-stage stochastic mixed integer linear program to handle the uncertainty related to the location of the possible incidents and the distribution of the pedestrians. Two cases are studied, a large concert planned at the Leangen trotting track in Trondheim and a smaller indoor arena. For each case, the EELP is solved for different scenarios, and the suggested layouts are evaluated using an agent-based simulation model. In particular, the potential of incorporating detailed assessment regarding the location and probability of specific incidents and the distribution of pedestrians are investigated. The computational study shows that making a more detailed risk assessment has little effect on the large concert, but a significant impact on the location of the emergency exits for the smaller indoor case. The results also indicate that it is more important to consider the location and probability of specific incidents rather than the pedestrian distribution.
基于优化和智能体仿真的紧急出口布局规划
疏散准备包括确保适当的基础设施、资源和规划,将人们从危险地区转移到安全地区。这在大型聚会(如大型音乐会)中尤其重要和具有挑战性。在本文中,我们提出了紧急出口布局问题(EELP),这是一个确定给定数量的紧急出口并确定其宽度以使人群从竞技场疏散所需时间最小的问题。EELP考虑了竞技场及其周围环境的地理位置,以及人群中的行人数量及其在竞技场内的分布。EELP是一个两阶段的随机混合整数线性规划,以处理与可能发生的事件的位置和行人分布有关的不确定性。研究了两个案例,计划在特隆赫姆的Leangen小跑赛道举行的大型音乐会和较小的室内竞技场。对于每种情况,EELP都针对不同的场景进行求解,并使用基于代理的仿真模型对建议的布局进行评估。特别地,研究了纳入具体事故的位置和概率以及行人分布的详细评估的可能性。计算结果表明,进行更详细的风险评估对大型音乐会影响不大,但对小型室内箱体的紧急出口位置影响较大。结果还表明,考虑特定事件的位置和概率比考虑行人分布更重要。
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
Computational Management Science
Computational Management Science SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
1.90
自引率
11.10%
发文量
13
期刊介绍: Computational Management Science (CMS) is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition. The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals. Officially cited as: Comput Manag Sci
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