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

被引:15
|
作者
Hu, Yuling [1 ,2 ]
Liu, Xiwei [3 ,4 ]
机构
[1] Beijing Univ Civil Engn & Architecture, Sch Elect & Informat Engn, Dept Automat, Beijing 100044, Peoples R China
[2] Beijing Key Lab Intelligent Proc Bldg Big Data, Beijing 100044, Peoples R China
[3] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[4] Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
关键词
Computational experiments; grouping evacuation; graph theory; high-rise building fire; management strategies; EMERGENCY EVACUATION; SIMULATION; MODEL; BEHAVIOR; CROWD; INTEGRATION; PREDICTION; ESCAPE; TRAIN;
D O I
10.1109/JAS.2018.7511231
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1104 / 1112
页数:9
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