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@article{193632,
        author = {MUJJAMIL KA and EZAZ I and MALAISELVAM M and NAGA SUNDAR M and MOHAMMED MUJAMMIL A and SURYAPRABHA D},
        title = {AI-Based 3D Disaster Evacuation Simulation System for Intelligent Disaster Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {1069-1072},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193632},
        abstract = {Natural disasters such as earthquakes, floods, fires, and structural collapses pose significant risks when evacuation planning is not properly implemented. Traditional evacuation systems rely on static maps and predefined exit routes, which are ineffective in dynamic disaster environments. This paper presents the design and implementation of an AI-based 3D disaster evacuation simulation system developed using Unreal Engine and intelligent pathfinding algorithms. The proposed system simulates real-world building environments and crowd behavior to dynamically generate optimal evacuation routes. The system provides real-time hazard detection, adaptive path recalculation, and performance analysis. This approach enhances disaster preparedness and improves evacuation efficiency in critical infrastructures.},
        keywords = {Disaster Management, AI Pathfinding, 3D Simulation, Unreal Engine, Crowd Behavior, Evacuation Planning},
        month = {March},
        }