TY - GEN
T1 - Resource pooling for optimal evacuation of a large building
AU - Deng, Kun
AU - Chen, Wei
AU - Mehta, Prashant G.
AU - Meyn, Sean P.
N1 - ACKNOWLEDGMENTS This work was supported by the International Association of Assistance for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union, project INTAS no. 97-0347.
PY - 2008
Y1 - 2008
N2 - This paper is concerned with modeling, analysis and optimization/control of occupancy evolution in a large building. The main concern is efficient evacuation of a building in the event of threat or emergency. Complexity arises from the curse of dimensionality in a large building, as well as the uncertain and nonlinear dynamics of individuals. In this paper we propose relaxation techniques borrowed from queueing theory to address complexity. Then we provide tools to model occupancy evolution during egress, obtain lower bounds on evacuation time, and construct control solutions to instruct occupants in order to efficiently evacuate the building. The control solutions are based on recent generalizations of the MaxWeight policy for decentralized routing. These results are illustrated with the aid of simulations carried out using realistic building models.
AB - This paper is concerned with modeling, analysis and optimization/control of occupancy evolution in a large building. The main concern is efficient evacuation of a building in the event of threat or emergency. Complexity arises from the curse of dimensionality in a large building, as well as the uncertain and nonlinear dynamics of individuals. In this paper we propose relaxation techniques borrowed from queueing theory to address complexity. Then we provide tools to model occupancy evolution during egress, obtain lower bounds on evacuation time, and construct control solutions to instruct occupants in order to efficiently evacuate the building. The control solutions are based on recent generalizations of the MaxWeight policy for decentralized routing. These results are illustrated with the aid of simulations carried out using realistic building models.
UR - https://www.scopus.com/pages/publications/62949122554
UR - https://www.scopus.com/inward/citedby.url?scp=62949122554&partnerID=8YFLogxK
U2 - 10.1109/CDC.2008.4739428
DO - 10.1109/CDC.2008.4739428
M3 - Conference contribution
AN - SCOPUS:62949122554
SN - 9781424431243
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5565
EP - 5570
BT - Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 47th IEEE Conference on Decision and Control, CDC 2008
Y2 - 9 December 2008 through 11 December 2008
ER -