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Chin. Phys. B, 2015, Vol. 24(6): 068801    DOI: 10.1088/1674-1056/24/6/068801
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev  

Stair evacuation simulation based on cellular automataconsidering evacuees' walk preferences

Ding Ning (丁宁)a b, Zhang Hui (张辉)b, Chen Tao (陈涛)b, Peter B. Luha c
a Department of Automation, Tsinghua University, Beijing 100084, China;
b Institute of Public Safety Research, Tsinghua University, Beijing 100084, China;
c Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269-2157, USA
Abstract  

As a physical model, the cellular automata (CA) model is widely used in many areas, such as stair evacuation. However, existing CA models do not consider evacuees' walk preferences nor psychological status, and the structure of the basic model is unapplicable for the stair structure. This paper is to improve the stair evacuation simulation by addressing these issues, and a new cellular automata model is established. Several evacuees' walk preference and how evacuee's psychology influences their behaviors are introduced into this model. Evacuees' speeds will be influenced by these features. To validate this simulation, two fire drills held in two high-rise buildings are video-recorded. It is found that the simulation results are similar to the fire drill results. The structure of this model is simple, and it is easy to further develop and utilize in different buildings with various kinds of occupants.

Keywords:  building evacuation      stair simulation      cellular automata      walk preferences  
Received:  20 November 2014      Revised:  07 January 2015      Accepted manuscript online: 
PACS:  88.40.M- (Residential and commercial buildings)  
  95.75.-z (Observation and data reduction techniques; computer modeling and simulation)  
  47.11.-j (Computational methods in fluid dynamics)  
  94.05.sk (Impacts on humans)  
Fund: 

Project supported by the National Basic Research Program of China (Grant No. 2012CB719705) and the National Natural Science Foundation of China (Grant Nos. 91224008, 91024032, and 71373139).

Corresponding Authors:  Chen Tao     E-mail:  chentao.a@tsinghua.edu.cn
About author:  88.40.M-; 95.75.-z; 47.11.-j; 94.05.sk

Cite this article: 

Ding Ning (丁宁), Zhang Hui (张辉), Chen Tao (陈涛), Peter B. Luh Stair evacuation simulation based on cellular automataconsidering evacuees' walk preferences 2015 Chin. Phys. B 24 068801

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