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Title: Application of Unmanned Aerial Vehicles for Monitoring Airport Asset Surfaces
Airports facilitate the fastest mode of transportation and connect local communities and businesses with national and international destinations. The American Society of Civil Engineers (ASCE) 2021 infrastructure report card rated the aviation infrastructure category with a D+. This highlights the need for frequent monitoring and performing timely preservation techniques to ensure the optimal performance of the asset. The Texas Department of Transportation (TxDOT) periodically inspects the regional airports in Texas through visual surveys and estimates the pavement condition index (PCI) for each airport on a network scale. These ratings are used to assess the need for rehabilitation in a timely manner. In this study, an attempt was made to use an unmanned aerial vehicle (UAV) mounted with an optical camera to inspect and evaluate the condition of various airport assets. Several observations were outlined to conduct a safe inspection of airport assets using UAVs. A comparison of PCI values, grouped into three categories, obtained from traditional and aerial inspections was made to understand the feasibility of using this new technology for airport asset management. It was observed that both inspections classified most of the airport assets similarly. The traditional inspection was observed to be quicker as it requires inspection of only sampled units, however, UAV data processing takes a relatively long time to offer a comprehensive digital footprint and immersive visualization experience of the whole airport assets. Overall, UAVs are identified to have a great potential as a data collection tool supplementary to the current traditional practices.  more » « less
Award ID(s):
2017796
PAR ID:
10557873
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
SAGE Publications
Date Published:
Journal Name:
Transportation Research Record: Journal of the Transportation Research Board
Volume:
2677
Issue:
3
ISSN:
0361-1981
Page Range / eLocation ID:
458 to 473
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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