Risk analysis of people evacuation and its path optimization during tunnel fires using virtual reality experiments

危害 紧急疏散 虚拟现实 层次分析法 模拟 路径(计算) 烟雾 计算机科学 工程类 运筹学 人工智能 地理 程序设计语言 化学 有机化学 气象学 废物管理
作者
Xiaochun Zhang,Linjie Chen,Junhao Jiang,Yixin Ji,Shuyang Han,Ting Zhu,Wenbin Xu,Fei Tang
出处
期刊:Tunnelling and Underground Space Technology [Elsevier BV]
卷期号:137: 105133-105133 被引量:19
标识
DOI:10.1016/j.tust.2023.105133
摘要

The number of urban tunnels has been increasing rapidly, accompanied by frequent tunnel fire accidents owing to the complex tunnel structure and large traffic flow. In this study, a full-size tunnel virtual reality (VR) scenario and computational fluid dynamics (CFD) construction model were established to investigate the evacuation behavior and corresponding risk of people in the early stage of vehicle fires considering four scenarios: normal circumstance, without VR agents, without emergency evacuation signs, and without fire extinguishers. Firstly, the cumulative values of CO, CO2, and temperature along the evacuation path were monitored using CFD. Secondly, the smoke toxicity was calculated using the N-GAS model, and the total risk value was computed based on the analytic hierarchy process which was defined as “smoke hazard: temperature hazard = 7:3.” Thirdly, a multiple regression model was created based on accident data. Finally, to minimize accidents, the design of the evacuation path was optimized using the established mathematical model and A* algorithm to verify the effectiveness of the risk assessment model. The results show that the effects of VR agents, emergency evacuation signs, and fire extinguishers on the evacuation behavior of people are mutual influence. This study combined time and route in the VR evacuation experiments to overcome the limitations of the existing control and VR experiments in quantifying the evacuation results. This research can be utilized to improve emergency evacuation plans and emergency response decision making. Furthermore, it can broaden the application of VR in the field of tunnel lifecycle safety management.
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