Emergency study of personnel evacuation based on metacellular automata
DOI:
https://doi.org/10.54097/hset.v27i.3838Keywords:
Metacellular automata; gradient boosting tree regression models; Emergency evacuation; computer simulation.Abstract
The problem of evacuating people in emergency situations has become particularly important as the flow of people in various cities is rising with economic development, which leads to an increase in the scale of large-scale assembly events. In this paper, we analyze the evacuation effect caused by different key factors in the process of personnel evacuation by building a metacellular automata model. The study can effectively solve the problem of rapid evacuation and escape of people and help reduce casualties. This paper analyzes the effect of key factors on evacuation efficiency comprehensively based on specific conditions, and gives the optimal plan on different conditions. The advantages and disadvantages of the model are evaluated and discussed in this paper, and it is concluded that the model can also be effectively extended to different fields such as biology and defense.
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