Simulation of Evacuation at High-Altitudes Based on Cellular Automata
He Yijie
Abstract：At high-altitudes,the special geographical and climatic conditions pose great challenges to the health and safety of individuals,especially the physiological and psychological reactions caused by low environmental pressure and thin oxygen make evacuation more difficult.These factors not only reduce the evacuation speed,but also increase anxiety and panic among individuals,which in turn affect the evacuation efficiency and safety.To address these chal-lenges,this study applied a Cellular Automata(CA)algorithm to analyze the evacuation process at high-altitudes by stimulating the spread of emotional contagion and the state transition of evacuated individuals.Specifically,a model incorporating static field,dynamic field,and pedestrian exhaustion mechanisms was established to simulate evacua-tion behavior of pedestrains in different emotional states.The study found that different emotional transition probabili-ties and exhaustion mechanisms significantly affected evacuation time,which presented that a higher probability of emotional transition led to longer evacuation times,while the exhaustion mechanisms considerably increased individ-ual evacuation times.This research provides theoretical support and practical guidance for the development of more effective evacuation plans in high-altitude regions,particularly by quantifying the impact of emotions and exhaustion on evacuation efficiency,and proposes a new method to optimize evacuation strategies.
Keywords：High-altitudeEvacuationCellular AutomataEmotional contagionExhaustion mechanism
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 67-73,80 )