Assessment of Pavement Geometric Characteristics Using UAV-CRP Data
Publication: International Conference on Transportation and Development 2021
ABSTRACT
In the USA, the infrastructure is aging rapidly due to a combination of factors including loading, materials, weather, and other environmental conditions. This is evident from ASCE’s recent report card on the infrastructure condition. Roads, which form the backbone of the infrastructure and provide connectivity to remote areas, were graded “D” overall. The current situation necessitates the selection and adoption of proper pavement management practices and related data collection tools to support proactive monitoring that can help in preventive maintenance. In recent times, there has been a rise in holistically analyzing and visualizing transportation infrastructure assets using intuitive models. These are being accomplished using unmanned aerial vehicle (UAV) platforms mounted with various compact sensors like visible, infrared, multi-spectral, and hyperspectral cameras; and LiDAR. Over a period, the initial geometric design conditions deteriorate and further lead to distresses on the pavement. In this study, close-range photogrammetry, accomplished using a visible camera mounted on a UAV, is used to study geometrical features and assessments of the pavement condition. The collected aerial images are processed to build three-dimensional (3D) models for assessing the current condition of the design features of pavements including longitudinal and lateral slope information. One of the key benefits of this approach is the facility it provides to analyze a single 3D model for different pavement attributes. This technology is expected to complement the existing traditional monitoring methods and quickly identify problematic sections of pavements for future repairs.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
AASHTO PP 69. (2016). “DETERMINING PAVEMENT DEFORMATION PARAMETERS AND CROSS SLOPE FROM COLLECTED TRANSVERSE PROFILES.” <https://infostore.saiglobal.com/en-us/standards/aashto-pp-69-2016-1236_SAIG_AASHTO_AASHTO_2980/> (Oct. 17, 2018).
“AASHTO PP 70-10.” (n.d.). <https://www.techstreet.com/standards/aashto-pp-70-10?product_id=1743807> (Jul. 22, 2018).
Congress, S. S. C. (2018). Novel Infrastructure Monitoring Using Multifaceted Unmanned Aerial Vehicle Systems - Close Range Photogrammetry (UAV - CRP) Data Analysis.
Congress, S. S. C., and Puppala, A. J. (2019a). “Novel Methodology of Using Aerial Close Range Photogrammetry Technology for Monitoring the Pavement Construction Projects.” Airfield and Highway Pavements 2019, Proceedings.
Congress, S. S. C., and Puppala, A. J. (2019b). “Evaluation of UAV–CRP Data for Monitoring Transportation Infrastructure Constructed over Expansive Soils.” Indian Geotechnical Journal, Springer India, 1–13.
Congress, S. S. C., Puppala, A. J., Jafari, N. H., Banerjee, A., and Patil, U. D. (2019). “The Use of Unmanned Aerial Photogrammetry for Monitoring Low-Volume Roads after Hurricane Harvey.” 12th TRB International Conference on Low-Volume Roads, TRB, Washington, D.C., Kalispell, Montana, 15.
Congress, S. S. C., Puppala, A. J., and Lundberg, C. L. (2018). “Total system error analysis of UAV-CRP technology for monitoring transportation infrastructure assets.” Engineering Geology, Elsevier.
Dassot, M., Constant, T., and Fournier, M. (2011). “The use of terrestrial LiDAR technology in forest science: application fields, benefits and challenges.” Annals of forest science, Springer, 68(5), 959–974.
FHWA. (2017). Utilizing 3D Digital Design Data in Highway Construction - Case Studies.
Petridou, E., and Moustaki, M. (2000). “Human factors in the causation of road traffic crashes.” European journal of epidemiology, Springer, 16(9), 819–826.
Puppala, A. J., and Congress, S. S. C. (2019). “A Holistic Approach for Visualization of Transportation Infrastructure Assets Using UAV-CRP Technology.” International Conference on Inforatmion technology in Geo-Engineering, Springer, 3–17.
Rathinam, S., Kim, Z. W., and Sengupta, R. (2008). “Vision-based monitoring of locally linear structures using an unmanned aerial vehicle.” Journal of Infrastructure Systems, American Society of Civil Engineers, 14(1), 52–63.
Skeen, J. (2011). TxDOT Survey Manual. Texas Department of Transportation, Texas.
Struve, B., Doctor, M., Maifield, D., and Chen, C. (2016). “The Evolution of Geometric Design.” <https://www.fhwa.dot.gov/publications/publicroads/16marapr/05.cfm> (Nov. 27, 2020).
Zongjian, L. I. N. (2008). “UAV for mapping—low altitude photogrammetric survey.” International Archives of Photogrammetry and Remote Sensing, Beijing, China, 37, 1183–1186.
Information & Authors
Information
Published In
International Conference on Transportation and Development 2021
Pages: 332 - 343
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Jun 4, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Pranav R. T. Peddinti, Byungmin Kim, Efficient Pavement Monitoring for South Korea Using Unmanned Aerial Vehicles, International Conference on Transportation and Development 2022, 10.1061/9780784484357.006, (61-72), (2022).