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Volume 5 Issue 6
Nov.  2018

IEEE/CAA Journal of Automatica Sinica

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Yuling Hu and Xiwei Liu, "Optimization of Grouping Evacuation Strategy in High-rise Building Fires Based on Graph Theory and Computational Experiments," IEEE/CAA J. Autom. Sinica, vol. 5, no. 6, pp. 1104-1112, Nov. 2018. doi: 10.1109/JAS.2018.7511231
Citation: Yuling Hu and Xiwei Liu, "Optimization of Grouping Evacuation Strategy in High-rise Building Fires Based on Graph Theory and Computational Experiments," IEEE/CAA J. Autom. Sinica, vol. 5, no. 6, pp. 1104-1112, Nov. 2018. doi: 10.1109/JAS.2018.7511231

Optimization of Grouping Evacuation Strategy in High-rise Building Fires Based on Graph Theory and Computational Experiments

doi: 10.1109/JAS.2018.7511231
Funds:

Beijing University of Civil Engineering and Architecture Nature Science ZF16078

Beijing University of Civil Engineering and Architecture Nature Science X18067

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  • It is difficult to rescue people from outside, and emergency evacuation is still a main measure to decrease casualties in high-rise building fires. To improve evacuation efficiency, a valid and easily manipulated grouping evacuation strategy is proposed. Occupants escape in groups according to the shortest evacuation route is determined by graph theory. In order to evaluate and find the optimal grouping, computational experiments are performed to design and simulate the evacuation processes. A case study shown the application in detail and quantitative research conclusions is obtained. The thoughts and approaches of this study can be used to guide actual high-rise building evacuation processes in future.

     

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