Intelligent construction management for utility works: system framework and case application in Dubai RTA project

Abstract As urban infrastructure projects become increasingly complex, conventional construction management often struggles with data integration, real-time monitoring, and efficient decision-making. This study designs and implements an intelligent construction management system tailored for utility works in the Dubai Roads and Transport Authority (RTA) project. The proposed framework integrates Internet of Things (IoT) technologies and artificial intelligence (AI) algorithms to enable real-time data acquisition, automated resource allocation, and intelligent decision support throughout the project lifecycle. Using the Umm Suqeim Street improvement as a case study, the system is tested under the stringent standards of utility engineering. Findings demonstrate that the system reduces manual intervention, improves data accuracy, enhances construction efficiency and quality, and supports automation in project delivery. Overall, this study validates an intelligent management framework for complex engineering projects, providing practical and theoretical insights for urban infrastructure management.