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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Guidelines for Collecting, Applying, and Maintaining Pavement Condition Data at Airports. Washington, DC: The National Academies Press. doi: 10.17226/25566.
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Page 97

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97 Dorsey, T. 2018. “35 State DOTs Are Deploying Drones to Save Lives, Time and Money.” AASHTO News. American Association of State Highway and Transportation Officials (AASHTO), Washington, D.C. https://news. transportation.org/Pages/NewsReleaseDetail.aspx?NewsReleaseID=1504 FAA. n.d. Airport Pavement Roughness Research. Washington, D.C. https://www.airporttech.tc.faa.gov/Airport- Pavement/Nondestructive-Pavement-Testing/AirportPavementRoughness Research FAA. 2016. Report to Congress. National Plan of Integrated Airport Systems (NPIAS) 2017–2021. U.S. Department of Transportation, Washington, D.C. FHWA. 2014. Distress Identification Manual for the Long-Term Pavement Performance Program. FHWA-HRT-13-092. Washington, D.C. Gerardi, T., M. Gerardi, D. Freeman, M. Freeman, R. Rasmussen, and G. Chang. 2007. Airfield Concrete Pavement Smoothness—A Reference. IPRF 01-G-002-02-4. Innovative Pavement Research Foundation, Skokie, IL. GHD, Inc. 2012. ACRP Report 69: Asset and Infrastructure Management for Airports—Primer and Guidebook. Transportation Research Board of the National Academies, Washington, D.C. Koch, C., K. Georgieva, V. Kasireddy, B. Akinci, and P. Fieguty. 2015. “A Review on Computer Vision Based Defect Detection and Condition Assessment of Concrete and Asphalt Civil Infrastructure.” Advanced Engineering Informatics. 29 (2015). pp. 196–210. Larkin, A., B. Sheng, P. Higgins, and A. Kuncas. 2018. Future Federal Aviation Administration (FAA) Developments of Roughness Evaluation for In-Service Airport Pavement. Federal Aviation Administration, Washington, D.C. https://www.erpug.org/media/files/forelasningar_2018/16%20Status%20of%20new%20roughness%20 index%20development%20for%20in-service%20airport%20pavement.pdf Li, L. W. Luo, K. Wang, G. Liu, and C. Zhang. 2018. “Automatic Groove Measurement and Evaluation with High Resolution Laser Profiling Data.” Sensors. August. 18(8): 2713. https://www.ncbi.nlm.nih.gov/pmc/articles/ PMC6111703/. UAS Magazine. 2017. UAS Magazine. April 27, 2017. Grand Forks, ND. U.S. DOT, Bureau of Transportation Statistics. 2017. Bureau of Transportation Statistics website. https://www.rita. dot.gov/bts/sites/rita.dot.gov.bts/files/publications/national_transportation_statistics/html/table_01_25. html, accessed November 13, 2017. Wysocky, K. 2018. “Savannah/Hilton Head Int’l Prepares to Integrate Drones into Airport & Airfield Operations.” Airport Improvement. Chapel Road Communications, Brookfield, WI. References

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Guidelines for Collecting, Applying, and Maintaining Pavement Condition Data at Airports Get This Book
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“Pavement condition data” are essential inputs to the process of managing airport pavements and ensuring safe operations. The technology available today to collect pavement condition data is considerably different from that available even 20 years ago, and new technologies are being developed and introduced into practice at a rapid pace.

ACRP Research Report 203: Guidelines for Collecting, Applying, and Maintaining Pavement Condition Data at Airports provides guidance on the collection, use, maintenance, and application of pavement condition data at airports. Such data include conditions that are visually observed as well as those that are obtained by mechanical measurement or other means. Visually observed distresses on a pavement surface (such as cracking, rutting, patching, and spalling) are widely used and accepted as indicators of pavement performance.

A key part of the background study leading to this report was the development of case studies of seven airports or airport agencies on their experiences with pavement data collection, use, and management. They include: Houston Airport System (Houston, Texas), Salt Lake City Department of Airports (Salt Lake City, Utah), Dublin International (Dublin, Ireland), Columbus Regional Port Authority (Columbus, Ohio), Gerald R. Ford International Airport Authority (Grand Rapids, Michigan), North Dakota (statewide), and Missouri (statewide).

Additional Resources:

  • An Appendix with case studies of airports and agencies based on responses to the project survey, the experience of the project team, and input from the ACRP project panel.
  • This presentation template is based on the content of ACRP Research Report 203. It provides information on airport pavement condition data collection, use, and storage that can be customized by a presenter to cover a subset of the overall ACRP report.
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