A Two-Stage Method for Building Evacuation With Discrete Time Model

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Automation Science and Engineering Pub Date : 2024-08-21 DOI:10.1109/TASE.2024.3440265
Yuandong Zhang;Qiaozhu Zhai;Zhanbo Xu;Jiang Wu;Xiaohong Guan
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Abstract

This paper analyzes the evacuation process of people in a building, and constructs a discrete-time evacuation model that can accurately describe the evacuation problem according to evacuation scenarios. In the discrete time framework, the evacuation policy is dynamically adjusted based on the dynamic transfer of people. For the large-scale evacuation problem, this paper proposes a two-stage method to solve the evacuation policy of edge and node separately, which improves the solving efficiency. The results of case study prove the reliability and efficiency of our method. Note to Practitioners—In this paper, considering the influence of effective edge width and crowd density on the moving speed of people, a discrete time based evacuation model is constructed which accurately reflects the evacuation process. A two-stage method is proposed to solve the difficult problem of large-scale evacuation. The evacuation policy obtained by the two-stage method will be used as the evacuation plan, and the evacuation plan of different evacuation scenarios will be counted. When an evacuation event occurs, the distribution of people is matched with the scenario in the database, and the evacuation plan of the closest scenario is selected for evacuation.
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采用离散时间模型的建筑物疏散两阶段法
本文分析了建筑物内人员的疏散过程,并根据疏散场景构建了能够准确描述疏散问题的离散时间疏散模型。在离散时间框架下,根据人员的动态迁移动态调整疏散策略。对于大规模疏散问题,本文提出了一种两阶段方法,分别求解边缘和节点的疏散策略,提高了求解效率。实例研究结果证明了该方法的可靠性和有效性。本文考虑了有效边缘宽度和人群密度对人群移动速度的影响,构建了一个基于离散时间的疏散模型,准确反映了疏散过程。提出了一种求解大规模疏散难题的两阶段方法。将两阶段法得到的疏散策略作为疏散计划,统计不同疏散场景下的疏散计划。当发生疏散事件时,将人员分布与数据库中的场景进行匹配,选择最接近场景的疏散方案进行疏散。
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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