airo 23(1): e5

Research Article

Emergency Evacuation Based on Cellular Automata

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  • @ARTICLE{10.4108/airo.v2i1.3127,
        author={Zezhong Huang and Shijun Liu and Yuan Huang and Liying Lan},
        title={Emergency Evacuation Based on Cellular Automata},
        journal={EAI Endorsed Transactions on AI and Robotics},
        volume={2},
        number={1},
        publisher={EAI},
        journal_a={AIRO},
        year={2023},
        month={5},
        keywords={Emergency evacuation, Anxiety, Cellular automata, Simulation},
        doi={10.4108/airo.v2i1.3127}
    }
    
  • Zezhong Huang
    Shijun Liu
    Yuan Huang
    Liying Lan
    Year: 2023
    Emergency Evacuation Based on Cellular Automata
    AIRO
    EAI
    DOI: 10.4108/airo.v2i1.3127
Zezhong Huang1, Shijun Liu2, Yuan Huang1, Liying Lan3,*
  • 1: Faculty of Electronic Information Engineering, Gannan University of science and technology, Ganzhou, China
  • 2: Faculty of Intelligent Manufacturing and Automotive Engineering, Gannan University of science and technology, Ganzhou, China
  • 3: Faculty of Humanity and Law, Gannan University of science and technology, Ganzhou, China
*Contact email: lanliying318@126.com

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.