Validation of an agent-based building evacuation model with a school drill

In order to analyze the evacuation capacity of parallel double running stairs, a dozen stairs merging forms are set by investigation and statistics, and the improved agent-based evacuation model that considers the merging behavior is used to simulate the process of merging and evacuation in the stairs. The stairs evacuation capacity is related to the evacuation time and the robustness of stairs, and the evacuation time can be calculated by using the improved agent-based model based on computer simulation. The robustness of each merging form can be obtained according to the fluctuation degree of evacuation time under the different pedestrian flow. The evaluation model of stairs evacuation capacity is established by fusing the evacuation time and the robustness of stairs. Combined with the specific example to calculate the evacuation capacity of each stairs form, it is found that every merging form has different evacuation time and different robustness, and the evacuation time has not positive correlation with the robustness for the same form stairs. Meanwhile, the evacuation capacity of stairs is not related to the number of the floor entrances. Finally, the results show that the evacuation capacity of stairs is optimal when the floor entrances are close to out stairs in parallel double running stairs and suitable to the case where pedestrian flow and the change of pedestrian flow are large.

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Agent-based simulation of building evacuation: Combining human behavior with predictable spatial accessibility in a fire emergency

Information Sciences ◽

10.1016/j.ins.2014.09.029 ◽

2015 ◽

Vol 295 ◽

pp. 53-66 ◽

Cited By ~ 93

Author(s):

Lu Tan ◽

Mingyuan Hu ◽

Hui Lin

Keyword(s):

Human Behavior ◽

Spatial Accessibility ◽

Agent Based Simulation ◽

Building Evacuation ◽

Agent Based

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A Multistory Building Evacuation Model Based on Multiple-Factor Analysis

Advances in Civil Engineering ◽

10.1155/2019/6585102 ◽

2019 ◽

Vol 2019 ◽

pp. 1-14

Author(s):

Yang Zhou ◽

Tanghong Wu ◽

Gaofan Zhang ◽

Zichuan Fan

Keyword(s):

Functional Relationship ◽

Emergency Evacuation ◽

Multiple Factor Analysis ◽

Time Step ◽

Evacuation Time ◽

Building Evacuation ◽

Access Path ◽

Multistory Building ◽

Evacuation Model ◽

Evacuation Routes

Emergency evacuation is an important issue in public security. To make a considerate plan, various situations are presented including blocking the accident area and letting the emergency access path available. In order to offer dynamic evacuation routes due to different circumstances, a multistory building evacuation model is proposed. Firstly, to analyse the patency of the building, an evacuation formula is applied after binary processing. The function of evacuation time and some other parameters is given by means of regression analysis. Secondly, the cellular automata (CA) algorithm was applied to illustrate the effect of the bottleneck. The response of evacuation time could be approximately optimized through calculating time step of the CA simulation. Finally, the value of maximum evacuation population density could be determined according to the analysis of CA simulation results, which was related to the switch state of the emergency channel. The emergency evacuation model was simulated by using the Louvre museum as an example. The results of the simulation presented some feasible evacuation routes in all kinds of situations. Furthermore, the functional relationship would also be given among evacuation time with the diversity of tourists, pedestrian density, and width of exits. It can give a different perspective that the multistory building evacuation model shows excellent adaptability to different circumstances.

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Agent-based Simulation for IoT Facilitated Building Evacuation

2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) ◽

10.1109/ict-dm47966.2019.9032909 ◽

2019 ◽

Author(s):

Julie Dugdale ◽

Mahyar T. Moghaddam ◽

Henry Muccini

Keyword(s):

Agent Based Simulation ◽

Building Evacuation ◽

Agent Based

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An agent-based vertical evacuation model for a near-field tsunami: Choice behavior, logical shelter locations, and life safety

International Journal of Disaster Risk Reduction ◽

10.1016/j.ijdrr.2018.12.018 ◽

2019 ◽

Vol 34 ◽

pp. 467-479 ◽

Cited By ~ 12

Author(s):

Alireza Mostafizi ◽

Haizhong Wang ◽

Dan Cox ◽

Shangjia Dong

Keyword(s):

Choice Behavior ◽

Near Field ◽

Life Safety ◽

Agent Based ◽

Vertical Evacuation ◽

Evacuation Model

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A Building Evacuation Model Integrated with Multiple Algorithms

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8997187 ◽

2019 ◽

Author(s):

Xiaoyu Zhao ◽

Xiwei Liu ◽

Xiaoyan Gong ◽

Sifeng Jing ◽

Jian He

Keyword(s):

Building Evacuation ◽

Evacuation Model ◽

Multiple Algorithms

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Simulation based optimal evacuation plan in vertical ship lift: a case study

Engineering Computations ◽

10.1108/ec-05-2019-0212 ◽

2020 ◽

Vol 37 (5) ◽

pp. 1757-1786 ◽

Cited By ~ 4

Author(s):

Jian-Ping Wang ◽

Mei-Ru Wang ◽

Jian-Lan Zhou ◽

Qing-Jun Zuo ◽

Xun-Xian Shi

Keyword(s):

The Self ◽

Content Type ◽

Agent Based ◽

Evacuation Plans ◽

Simulation Based ◽

Fire Evacuation ◽

Fire Scenarios ◽

Evacuation Model ◽

Evacuation Plan

Purpose The purpose of this study is to develop optimal evacuation plan to provide valuable theoretical and practical insight in the fire evacuation work of similar structures, by proposing a systematic simulation-based guided-evacuation agent-based model (GAM) and a three-stage mathematical evacuation model to investigate how to simulate, assess and improve the performance efficiency of the evacuation plan. Design/methodology/approach The authors first present the self-evacuation and guided-evacuation models to determine the optimal evacuation plan in ship chamber. Three key performance indicators are put forward to quantitatively assess the evacuation performance within the two fire scenarios. The evacuation model in tower is built to obtain the dividing points of the three different fire evacuation plans. Findings The study shows that the optimal evacuation plan determined by the GAM considering social relationships effectively relieves the congestion or collision of evacuees and improves the evacuation uniformity. The optimal evacuation plan not only solves the crush caused by congestion or collision of evacuees but also can greatly shorten the evacuation time for passenger ship fire. Originality/value This study establishes the GAM considering the interactive evacuee characteristics and the proportion of evacuees guided by the crew members to make the optimal evacuation plan more time-efficient. The self-evacuation process is simulated to assess the performance of the guided-evacuation strategies, which are used to verify the effectiveness and feasibility of the optimal evacuation plan in this research.

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