Assessment of UAV Usage for Flexible Pavement Inspection Using GCPs: Case Study on Palestinian Urban Road

Ismail S. A. Aburqaq, Sepanta Naimi (), Sepehr Saedi and Musab A. A. Shahin
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Ismail S. A. Aburqaq: Department of Civil Engineering, Altinbas University, 34218 Istanbul, Turkey
Sepanta Naimi: Department of Civil Engineering, Altinbas University, 34218 Istanbul, Turkey
Sepehr Saedi: Department of Civil Engineering, Altinbas University, 34218 Istanbul, Turkey
Musab A. A. Shahin: Department of Civil Engineering, Palestine Polytechnic University, Hebron P.O. Box 198, Palestine

Sustainability, 2025, vol. 17, issue 18, 1-18

Abstract: Rehabilitation plans are based on pavement condition assessments, which are crucial to modern pavement management systems. However, some of the disadvantages of conventional approaches for road maintenance and repair include the time consumption, high costs, visual errors, seasonal limitations, and low accuracy. Continuous and efficient pavement monitoring is essential, necessitating reliable equipment that can function in a variety of weather and traffic conditions. UAVs offer a practical and eco-friendly alternative for tasks including road inspections, dam monitoring, and the production of 3D ground models and orthophotos. They are more affordable, accessible, and safe than traditional field surveys, and they reduce the environmental effects of pavement management by using less fuel and producing less greenhouse gas emissions. This study uses UAV technology in conjunction with ground control points (GCPs) to assess the kind and amount of damage in flexible pavements. Vertical photogrammetric mapping was utilized to produce 3D road models, which were then processed and analyzed using Agisoft Photoscan (Metashape Professional (64 bit)) software. The sorts of fractures, patch areas, and rut depths on pavement surfaces may be accurately identified and measured thanks to this technique. When compared to field exams, the findings demonstrated an outstanding accuracy with errors of around 3.54 mm in the rut depth, 4.44 cm 2 for patch and pothole areas, and a 96% accuracy rate in identifying cracked locations and crack varieties. This study demonstrates how adding GCPs may enhance the UAV image accuracy, particularly in challenging weather and traffic conditions, and promote sustainable pavement management strategies by lowering carbon emissions and resource consumption.

Keywords: flexible pavement; assessment; ground control points (GCPs); accuracy; inspections; UAVs; asphalt pavement; sustainable infrastructure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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