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.15266570
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Predictive Analytics and Resource Optimization for Sustainable and Safe Construction Project

Zenodo (CERN European Organization for Nuclear Research)
Construction Project Management and Performance
article

AI-Driven Predictive Analytics and Resource Optimization for Sustainable and Safe Construction Project

article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Construction Project Management and Performance
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