Emergency Evacuation Based on Cellular Automata

Zezhong Huang; Shijun Liu; Yuan Huang; Liying Lan

doi:10.4108/airo.v2i1.3127

Authors

Zezhong Huang Faculty of Electronic Information Engineering, Gannan University of science and technology, Ganzhou, China
Shijun Liu Faculty of Intelligent Manufacturing and Automotive Engineering, Gannan University of science and technology, Ganzhou, China
Yuan Huang Faculty of Electronic Information Engineering, Gannan University of science and technology, Ganzhou, China
Liying Lan Faculty of Humanity and Law, Gannan University of science and technology, Ganzhou, China

DOI:

https://doi.org/10.4108/airo.v2i1.3127

Keywords:

Emergency evacuation, Anxiety, Cellular automata, Simulation

Abstract

With the increasing number or scale of large-scale assembly activities, emergency evacuation has become increasingly important. In order to understand the evacuation behavior of people, this paper uses European distance, simulation and other methods to optimize the research and design of evacuation in emergency. The main contents of this paper are as follows: First, based on the principle and update rules of cellular automata, determine the three key factors of gender, age and emotional intensity, and the evacuation model based on cellular automata, and then use MATLAB software to simulate the change of people flow under different anxiety conditions, and output relevant data and visual images. Finally, the differences of the experimental results caused by the key factors are discussed. Secondly, study the evacuation rate change curve, as well as the key factors and their effects. Based on the average speed and average flow model of the system, simulate and output the corresponding visual images. Thirdly, in order to study and determine the best simulated evacuation route and the dynamic process of personnel evacuation in the case of different door widths, based on the evacuation route selection model with the shortest time to reach the two doors, the best pedestrian evacuation route is selected according to the shortest time rule. Fourth, in order to study the impact of reduced visibility in the hall on the whole process. In this paper, the regional discretization method is used to establish the perception range model under visibility and analyze the factor changes in the whole process.

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