TY - JOUR
T1 - Risk-awareness in multi-level building evacuation with smoke
T2 - Burj Khalifa case study
AU - Barreiro-Gomez, Julian
AU - Choutri, Salah Eddine
AU - Tembine, Hamidou
N1 - Funding Information:
We gratefully acknowledge support from U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259 , and the NYUAD Research Institute . This material is based upon work supported by Tamkeen under the NYU Abu Dhabi Research Institute grant CG002 . Authors also thank Prof. Boualem Djehiche from KTH for his valuable inputs about this work. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Shun-ichi Azuma under the direction of Editor Thomas Parisini.
Funding Information:
We gratefully acknowledge support from U.S. Air Force Office of Scientific Research under grant number FA9550-17-1-0259, and the NYUAD Research Institute. This material is based upon work supported by Tamkeen under the NYU Abu Dhabi Research Institute grant CG002. Authors also thank Prof. Boualem Djehiche from KTH for his valuable inputs about this work. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Shun-ichi Azuma under the direction of Editor Thomas Parisini.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Evacuation problem
KW - Multi-level evacuation
KW - Risk minimization
KW - Risk-aware control
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U2 - 10.1016/j.automatica.2021.109625
DO - 10.1016/j.automatica.2021.109625
M3 - Article
AN - SCOPUS:85103793915
SN - 0005-1098
VL - 129
JO - Automatica
JF - Automatica
M1 - 109625
ER -