An adaptive emergency protocol for people evacuation in high-rise buildings

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

soledad.escolar@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

david.villa@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

felix.villanueva@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

Ruben.Cantarero@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

juancarlos.lopez@uclm.es

  • CONFERENCE — 2016 IEEE Symposium on Computers and Communication (ISCC)

  • PAGES — 364-371

  • ISBN — 978-1-5090-0679-3

  • DOI 10.1109/ISCC.2016.7543767

  • PUBLISHER  IEEE

  • YEAR  2016

  • LOCATION  Messina, Italy

S. Escolar, D. Villa, F. J. Villanueva, R. Cantarero and J. C. López. An adaptive emergency protocol for people evacuation in high-rise buildings2016 IEEE Symposium on Computers and Communication (ISCC), Messina, 2016, pp. 364-371.

@INPROCEEDINGS{7543767,
author={S. Escolar and D. Villa and F. J. Villanueva and R. Cantarero and J. C. López},
booktitle={2016 IEEE Symposium on Computers and Communication (ISCC)},
title={An adaptive emergency protocol for people evacuation in high-rise buildings},
year={2016},
volume={},
number={},
pages={364-371},
keywords={buildings (structures);emergency management;risk management;wireless sensor networks;adaptive emergency protocol;people evacuation;high-rise building;emergency risk situation;wireless sensor network;navigation system;intelligent evacuation system;Buildings;Sensors;Computational modeling;Estimation;Heuristic algorithms;Navigation;Wireless sensor networks;Smart Buildings;Intelligent Evacuation Systems;Wireless Sensor Networks},
doi={10.1109/ISCC.2016.7543767},
ISSN={},
month={June},}

Abstract

The occurrence of emergency situations in high-rise buildings, daily hosting hundreds of people, may force the massive evacuation of their occupants with the ultimate goal of preventing the loss of lives. In this paper, we propose an adaptive algorithm for dynamically computing safe evacuation routes, while the load of people is balanced between the accesses of each floor of the building, thus avoiding the accumulation of people in hotspots. The combination of this algorithm with sensors to detect the events of interest and a navigation system to guide the evacuees turns this solution into a specially suited approach for evacuation in high-rise buildings. Simulation results demonstrate that the yield evacuation routes drive all people outdoor with a similar average path length for the different risk scenarios addressed.

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