Asset Management of Road Infrastructure Using UAV

Abstract

Road infrastructure is crucial for urban and rural development, affecting economic growth, safety, and transportation efficiency. It includes the construction, maintenance, and management of road networks. Road infrastructure is critical for economic growth, safety, and transportation efficiency, making it an essential aspect of both urban and rural development. Road infrastructure management has a major impact on economic growth, safety, and the effectiveness of transportation, and is essential to both urban and rural development. This include designing, building, maintaining, and renovating road networks, including local roads, highways, and streets. Conventional asset management methods can be imprecise and inefficient, resulting in decisions and resource usage that are not ideal. These methods frequently rely on manual surveys and sporadic inspections. More advanced techniques for managing road infrastructure have been made possible by recent technical breakthroughs. Unmanned aerial vehicles (UAVs) with sophisticated sensors and high-resolution images provide an affordable method of precisely tracking and evaluating road conditions. A systematic method for assessing the health of pavements is offered by the Pavement Condition Index (PCI), which combines visual inspections and data from remote sensing to produce a thorough evaluation. This study looks at how combining Unmanned Aerial Vehicles (UAVs), data collection methods for the Pavement Condition Index (PCI), and Geographic Information System (GIS) software—specifically QGIS—can improve asset management for road infrastructure. UAVs offer a cost-effective and efficient means of capturing high-quality images and data, enabling comprehensive evaluations of road conditions and infrastructure assets. The PCI methodology provides a standardized approach, combining remote sensing technologies with visual inspections for pavement condition assessment. QGIS is a geographic information system (GIS) software that is free and open-source. QGIS serves as a powerful tool for managing, analyzing, and visualizing PCI data within a geographic context, aiding in well-informed asset management decisions. By leveraging PCI data collection and QGIS software, road authorities can optimize maintenance strategies, prioritize investments, and ensure the longevity and safety of road networks. This integrated approach offers several benefits, including increased accuracy, reduced costs, and enhanced efficiency in

asset management practices. Real-world case studies and examples demonstrate the effectiveness of this approach in overcoming the challenges associated with traditional asset management methods. The findings of this study contribute to the advancement of asset management practices for road infrastructure, paving the way for smarter and more sustainable urban and rural transportation networks.