AI-Driven Predictive Analytics and Resource Optimization for Sustainable and Safe Construction Project
The construction industry is undergoing a transformation driven by Artificial Intelligence (AI) and data-driven technologies. Traditional project management methods often struggle with inefficiencies, delays, and cost overruns, making it difficult to manage the complexity of modern construction. AI-powered predictive analytics and resource optimization are revolutionizing project planning, execution, and monitoring, enabling a proactive approach to enhance efficiency, reduce risks, and support sustainability. This research explores AI’s practical applications in construction, focusing on its ability to predict delays, optimize material usage, improve workforce allocation, and enhance site safety. Leveraging machine learning, IoT sensors, and automation, AI provides real-time insights that help construction managers make data-driven decisions, reducing waste and preventing disruptions
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-23
- DOI
- https://doi.org/10.5281/zenodo.15266571
- Primary Topic
- Construction Project Management and Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00