Leveraging Artificial Intelligence for Enhanced Monitoring of Road Construction Sites

Abstract: Artificial intelligence (AI) is in its early stages but has recently gained attention due to its wide range of potential applications. These include automation, machine learning, and algorithms that assist with labor-intensive tasks across various industries, including construction. The construction industry, currently valued at over $2 trillion, continues to grow as demand increases. Every construction project is unique in terms of schedule and budget, making the industry labor-, time-, and capital-intensive. For project managers to efficiently oversee a project, daily updates and real-time data are crucial to ensuring timeliness and avoiding setbacks. However, traditional methods of construction project management are often time-consuming, inconsistent, and expensive. Staying on schedule and effectively monitoring construction are critical tasks in the industry. Conventional methods are costly, time-consuming, and inconsistent. To address these challenges, researchers have explored innovative AI-based solutions for construction monitoring. The studies included in this paper highlight the potential of AI in the construction industry, including the use of robotics for data collection and analysis, as well as the development of critical information for project monitoring. This paper synthesizes several studies exploring the application of AI in road construction and the associated benefits. Methods such as the use of unmanned aerial vehicles (UAVs) are shown to be more reliable than conventional approaches for collecting project progress data. The data gathered from UAVs can be integrated into Building Information Modeling (BIM) systems to provide up-to-date project information. Additionally, computer vision, a subset of AI, is examined, and various techniques are reviewed.