Mapping the Future: Using BIM & Simulation for Fire Evacuation Planning
🔥 When Seconds Matter: Rethinking Fire Evacuation in High-Rise Buildings
Have you ever wondered how safe your building really is in the event of a fire? Fire evacuation strategies are critical in ensuring safety, yet many buildings still rely on outdated plans. This inspired me to take a deep dive into disaster evacuation simulations using Building Information Modeling (BIM)Â for my final project in Geodesic Engineering at Diponegoro University, Semarang, Indonesia.
My research focused on evaluating the feasibility of evacuation routes in the New Dean Building of the Faculty of Engineering. To achieve this, I combined cutting-edge 3D laser scanning technology with a powerful pathfinding algorithm to simulate how people would escape during a fire emergency.
đź“Ś How I Built a Virtual Evacuation Model
To create an accurate 3D digital twin of the building, I used Terrestrial Laser Scanning (TLS)Â technology. This method captured high-precision point cloud data, which I then converted into a detailed Building Information Model (BIM) using Autodesk Revit.
đź’ˇ Why TLS?
Produces highly detailed, georeferenced 3D models
Provides millimeter-level accuracy for precise measurements
Captures complex building structures in a non-invasive way
🚀 Simulating an Evacuation Using Smart Algorithms
Once the BIM model was complete, I conducted a fire evacuation simulation using the A search algorithm*. This algorithm, widely used in AI and robotics, calculates the shortest and fastest escape routes based on different emergency scenarios.
🔍 What I Discovered:
The longest evacuation route in the building was 21.251 meters (ground floor), while the shortest was 17.290 meters (1st floor).
In Scenario 1 (where all exit doors were closed), evacuation took 96.3 seconds on average.
In Scenario 2Â (where exit doors were open), evacuation time was reduced to 89.8 seconds.
Both cases met Indonesia’s national building safety regulations (Ministerial Regulation No. 26/2008), which sets a maximum allowable evacuation path of 62 meters for educational buildings.
🔬 Precision & Accuracy: Ensuring Reliable Results
To validate the accuracy of my BIM model, I conducted a deviation analysis comparing the point cloud data and the final 3D model. The results? Minimal discrepancies of 0-2 mm, proving that my model was highly accurate.
Additionally, I verified my measurements using a rolling meter, which showed an RMSE (Root Mean Square Error) of just 0.0139 meters—an excellent level of precision for real-world applications.
🌍 Why This Research Matters
This study highlights how digital modeling and AI-driven simulations can:✅ Enhance fire safety planning for high-rise buildings✅ Help architects & engineers improve building design for emergency situations✅ Provide urban planners with data-driven insights for better infrastructure planning
Although my research is just a starting point, I believe it opens up exciting possibilities for the future of smart building safety systems.
🙏 A Heartfelt Thank You
This final project wouldn’t have been possible without the support of many people. I’d like to express my deepest gratitude to:
✨ Abdi Sukmono & Nurhadi Bashit, my research supervisors, for their invaluable guidance.
✨ ERTIM Conservation Institute for providing access to the TLS BLK360 scanner.
✨ Autodesk & TerraModus for granting software licenses that made BIM processing possible.
🏆 Final Thoughts: Building a Safer Future
Through this project, I realized how technology can bridge the gap between theoretical planning and real-world safety. By leveraging BIM, TLS, and AI-driven algorithms, we can revolutionize fire evacuation strategies and make buildings safer for everyone.
If you’re passionate about geospatial technology, disaster preparedness, or smart city innovations, I’d love to connect! Let’s build the future—one simulation at a time. 🚀
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