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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Measuring, Characterizing, and Reporting Pavement Roughness of Low-Speed and Urban Roads. Washington, DC: The National Academies Press. doi: 10.17226/25563.
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Page 76
Page 77
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2019. Measuring, Characterizing, and Reporting Pavement Roughness of Low-Speed and Urban Roads. Washington, DC: The National Academies Press. doi: 10.17226/25563.
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Page 77

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

76 21st Century Infrastructure Commission Report. Nov. 30, 2016. Burchett, J. L., R. L. Rizenbergs, and T. A. Moore. 1977. Surface Dynam- ics Profilometer and Quarter-Car Simulator: Description, Evalua- tion, and Adaptation. Research Report No. 465, Kentucky Bureau of Highways, Lexington, KY. Cantisani, G. and G. Loprencipe. 2010. Road Roughness and Whole Body Vibration Evaluation Tools and Comfort Limits. Journal of Transportation Engineering, ASCE, Vol. 136, No. 9, pp. 818–826. Chalasani, R. M. 1986. Ride Performance Potential of Active Suspen- sions Systems—Part I: Simplified Analysis Based on a Quarter- Car Model. Proceedings: Symposium on Simulation and Control of Ground Vehicles and Transportation Systems. Anaheim, CA. Dahlberg, T. 1979. An Optimized Speed-Controlled Suspension of a 2-DOF Vehicle Traveling on a Randomly Profiled Road. Journal of Sound and Vibration, Vol. 62, No. 4, pp. 541–546. Eck, R. W. and S. K. Kang. 1991. 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M. and K. Senn. 2010. Profile Analysis of the LTPP SPS-6 Site in Arizona. Report UMTRI-2010-17, University of Michigan Transportation Research Institute, Ann Arbor, MI. Karamihas, S. M. 2012. Simulation Speed and Its Implications to the Relevance of the IRI. American Society for Testing and Materials STP 1555, pp. 248–266. La Torre, F., L. Ballerini, and N. Di Volo. 2002. Transportation Research Record: The Journal of the Transportation Research Board, No. 1806. Transportation Research Board, National Research Council, Washington, D.C., pp. 131–139. McGhee, K. K. 2002. Smoothness Provision for Bridge Decks. Transpor- tation Research Record: The Journal of the Transportation Research Board, No. 1813. Transportation Research Board, National Research Council, Washington, D.C., pp. 210–217. Movassaghi, K. K., J. Lee, and A. Kumat. 1993. Roughness Analysis at Grade Breaks at Intersections. Publication FHWA/LA-93/257, Louisiana Transportation Research Center, Baton Rouge, LA. 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77 of Safety Design, FHWA, U.S. Department of Transportation, Washington, D.C. Ohio Department of Transportation. 2012. Surface Smoothness for Bridges and Approaches Proposal Note 555. Perera, R. and S. Kohn. 2004. Effects of Variation in Quarter-Car Simulation Speed on International Roughness Index. Transporta- tion Research Record: The Journal of the Transportation Research Board, No. 1889. Transportation Research Board, National Research Council, Washington, D.C., pp. 144–151. Perera, R. W. and S. M. Karamihas. 2014. Study for Establishing Regional Certification Centers for Inertial Profilers. Final Report, FHWA, U.S. Department of Transportation, Washington, D.C. Poister, T. H., P. M. Garvey, and C. L. Smith. 2003. Road Quality from the Motorist’s Perspective. Final Report. Pennsylvania Department of Transportation. Reggin, A., A. Shalaby, R. Emanuels, and G. St. Michel. 2008. 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Measuring, Characterizing, and Reporting Pavement Roughness of Low-Speed and Urban Roads Get This Book
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Pavement smoothness (or roughness) is used by state highway agencies for monitoring network condition and other purposes such as assessing construction quality and optimizing investments in preservation, rehabilitation, and reconstruction.

States are also required to report the International Roughness Index (IRI) as an element of the federal Highway Performance Monitoring System (HPMS). Because IRI is not measured directly but is calculated as the mechanical response of a generic quarter-car, traveling at 50 mph, to the elevation profile of the roadway, there are concerns about using current practices for estimating roughness of low-speed and urban roads

Because of the unique features of low-speed and urban roads, research was needed to identify or, if necessary, develop means for appropriately measuring, characterizing and reporting pavement roughness of these roads.

National Cooperative Highway Research Program (NCHRP) Research Report 914: Measuring, Characterizing, and Reporting Pavement Roughness of Low-Speed and Urban Roads reviews the practices for roughness measurement and the unique features of urban and low-speed roadways, and it evaluates the use of existing inertial profilers for such measurements.

The report also proposes revisions to American Association of State Highway and Transportation Officials standard specifications and practices addressing inertial profiler certification and operations.

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