The Efficiency Employment of Close-range Photogrammetry to Measure And Model Potholes in Asphalt Pavement
Year: 2020
Type: article
Abstract: The objective of this study is to measure and model potholes distress in the pavement road surface, which form a major type among several distresses exist in road networks. In this research close-range photogrammetry is used to represent potholes distress, this approach allows converting images of the studied potholes into a 3-D model. Ground control points (GCPs) have to be distributed uniformly to cover the whole measured area helping to solve analytically for the unknown coordinates of the measured area point cloud and acquiring a georeferenced model with known coordinates. Agisoft PhotoScan was used for potholes modelling, which is a user-friendly software that allows for 3- D modelling, producing digital elevation models, point clouds, and orthomosaic. The Agisoft PhotoScan initial assessment test on a model similar in shape to a real pothole reviles that the best accuracy acquired using 8 GCPs distributed regularly to cover the shape of the pothole have a maximum discrepancy of - 2.16cm in Z coordinates of one point. The obtained root mean square errors RMS were ±0.79 ±0.78 ±0.67cm in X, Y, and Z coordinates respectively. In a real pothole modelling tests on two sites and comparing the model check points coordinates with the ground coordinates, the RMS obtained were, ±0.85, ±0.58, ±0.44 cm and ±0.32, ±0.27, ±0.39cm in X, Y and Z coordinates respectively. Both potholes can be classified as high level potholes as their depths are more than 50mm in accordance with known specifications. In volume test carried out on the first model, the Agisoft PhotoScan generated volume was 8413 cm3 confirmed the volume measured with the standard soil test known as sand replacement method which gave a volume of 8311 cm3
Authors: Ahmed e Ramzy Jame, Raad Awad Kattan
Institution: University of Duhok
Language: English
Subfield: Geology
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3136719082