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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42196
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â The worldwide construction sector faces ongoing inefficiencies, which are made worse by antiquated techniques like manual surveys. These inefficiencies include project delays, budget overruns, and safety hazards. The Crossrail Project (Elizabeth Line), one of Europeâs biggest infrastructure projects, validates the revolutionary approach this study offers by combining drone technology with Geographic Information Systems (GIS). Drones (such as the DJI Matrice 300 RTK) fitted with LiDAR and RGB sensors, in conjunction with GIS tools (Esri ArcGIS Pro) and BIM platforms (Autodesk Revit), were used to execute a strong four-phase workflow: data collecting, processing, BIM integration, and spatial analytics. With millimeter-level accuracy, this framework made it possible to perform real-time 3D mapping, predictive analytics, and conflict detection. A 95% reduction in tunnel inspection time (from 5 days to 2 hours per kilometer), an 81% reduction in rework expenses, and an 83% reduction in safety occurrences were among the main results. While AI algorithms improved safety monitoring with 92% accuracy in identifying dangers, spatial heatmaps optimized resource allocation. Future developments in real-time decision-making and predictive analytics are anticipated with the convergence of 5G connectivity and AI-driven digital twins. Regularized urban drone laws are still necessary for broad use, though. The Crossrail case demonstrates how drone-GIS integration can revolutionize construction management, offering a blueprint for efficient, safe, and innovative project delivery in the Industry 4.0 era.
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Publication Date
3/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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