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Updated Performance Curves for SDDOT’s Pavement Management System
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2013-11-28
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[PDF-5.57 MB]
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Edition:Final Report March 2012 to November 2013
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Abstract:The South Dakota Department of Transportation (SDDOT) has used performance prediction models in their pavement management system since 1994. The performance prediction models are used to predict future pavement performance, estimate future maintenance and rehabilitation needs, and ultimately develop the statewide, multi-year optimized construction programs. The original 1994 performance prediction models were based on expert opinion. In 1997, SDDOT initiated a research project (SD1997-05, Statistical Methods for Pavement Performance Curve Building, Historical Analysis, Data Sampling and Storage) that developed performance prediction models using actual condition data and a more statistically based approach. However, since 2004 SDDOT has encountered a number of issues that has made updating the performance prediction models impossible. In 2011, SDDOT initiated this project to revise the 1997 approach for performance prediction model development by updating the methodology for evaluating the pavement family definitions, to use 17 years of historical condition data to develop improved performance prediction models; to develop a new stand-alone performance prediction modeling (PPM) tool; and to produce a final data model set that can be incorporated into the current pavement management process. In addition, guidance has been provided on how to use the pavement management data or the developed performance prediction models in the calibration of the American Association of State Highway and Transportation Officials (AASHTO) Mechanistic-Empirical Pavement Design Guide (MEPDG) to South Dakota conditions.
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