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Abstract
This article examines the use of artificial intelligence technologies for modeling fire spread in multi-story buildings 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, the identification of hazardous areas, and the guidance of occupants along the safest evacuation routes. Simulation results demonstrate that the use of AI-based systems reduces evacuation time, minimizes congestion, and improves the effectiveness of emergency management. The research findings have significant practical importance for modernizing fire safety systems and advancing the concept of smart buildings.
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