Risk-awareness in multi-level building evacuation with smoke: Burj Khalifa case study

被引:6
作者
Barreiro-Gomez, Julian [1 ,2 ]
Choutri, Salah Eddine [1 ,2 ]
Tembine, Hamidou [1 ,2 ]
机构
[1] New York Univ Abu Dhabi NYUAD, Div Engn, Learning & Game Theory Lab L&G Lab, Saadiyat Campus POB 129188, Abu Dhabi, U Arab Emirates
[2] New York Univ Abu Dhabi, NYUAD Res Inst, Saadiyat Campus POB 129188, Abu Dhabi, U Arab Emirates
关键词
Evacuation problem; Multi-level evacuation; Risk minimization; Risk-aware control; FIELD-TYPE GAMES; OPTIMIZATION;
D O I
10.1016/j.automatica.2021.109625
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study a risk-aware multi-level evacuation control problem considering smoke propagation. We propose a continuous-time Markov-chain-based modeling for both population motion and smoke propagation while considering spatial/physical constraints such as walls and/or obstacles. Besides, we formally present some properties of the evacuation model. To do so, we design, in a semi explicit way, a mean-field-risk-aware control that reduces the evacuation time while avoiding the crowd and smoke. Finally, we present numerical examples for evacuation of single-level and multi-level buildings. The multi-level building is Burj Khalifa, the tallest building in the world with 164 floors. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:15
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