aspg-22-4381-1791483585 20261008181945 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of BIM and Engineering Science IJBES 2571-1075 2026 12 2 Rajkumar Rajavel School of Engineering and Technology, Department of AI and Data Science Engineering, CHRIST (Deemed to be University), Kanmanike, Kumbalagodu, Mysore Road, Bangalore, Karnataka-560074, India N. Partheeban Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Delhi-Meerut Road, Modinagar, India Indoor fire evacuation requires decisions that change as smoke, heat, and occupant movement evolve. Conventional evacuation drawings are usually prepared before an incident and cannot represent real-time loss of visibility, blocked corridors, congested stairs, or the changing reliability of alternative exits. This paper proposes a dynamic evacuationrouting framework that connects IoT fire-sensor streams with a semantic graph derived from a BIM model. The building is represented as a weighted network of rooms, corridors, doors, stairs, and exits, while sensor readings are transformed into a time-dependent hazard index that continuously modifies edge costs. The proposed model integrates fire-safety asset recognition, semantic BIM enrichment, hazard propagation, congestion-aware edge weighting, and dynamic shortest-path recalculation. A controlled simulation demonstrates how the route recommendation changes during fire development and how dynamic routing reduces hazard exposure compared with a static egress plan. The study contributes a transparent computational structure for transforming BIM from a static documentation model into an adaptive emergency decision-support interface. 2026 48 56 4381 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJBES.120207 https://www.americaspg.com/journal/22/article/4381 https://www.americaspg.com/storage/articles/manuscripts/01KT6NZEQYHYC4H8BWJ3D98BZH.pdf