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Abstract
This article examines the issues of modeling fire spread in multi-story buildings using artificial intelligence technologies and optimizing evacuation strategies. During the study, an evacuation model based on artificial neural networks, fire risk indices, and AI algorithms was developed. The proposed model enables the prediction of fire development, identification of hazardous areas, and guidance of occupants toward the safest evacuation routes. Simulation results demonstrate that the use of AI-based systems can reduce evacuation time, minimize congestion, and improve the efficiency of emergency management. The findings of this research have significant practical importance for the modernization of fire safety systems and the advancement of smart building concepts.
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