Browsing by Author "Mastin, J. Neil"

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    A Case Study in Establishing Quality Assurance Limits for Automated Pavement Distress Data in North Carolina
    Frith, Douglas J.; Stoffels, Shelley M.; Mastin, J. Neil; Morian, Dennis A. (2015-06-04)
    The North Carolina Department of Transportation (NCDOT) began collecting automated pavement distress data on a state-wide basis in 2012. Concurrently, they contracted the quality assurance reviews of the reported pavement distress to an independent source. This paper discusses the means and methods utilized by NCDOT and the quality assurance contractor to develop statistically valid quality assurance limits, which are also meaningful in terms of pavement management decision-making impacts, for the collected and processed asphalt pavement distress data. The paper describes the strategic selection of control sections to include a range and mix of the distresses with impact in the current decision trees, the data collection on the control sections, the rating methodology, and the rater pools and preparation to develop predicted limits for the control of the data. The paper discusses the consideration of multiple control indices, and the need to also reflect a range of values for those aggregate indices for multiple distresses, and presents the statistical analysis from the asphalt concrete control sites.
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    Impact of Pavement Performance Models on Strategic Funding Analyses in the NCDOT Pavement Management System
    Mastin, J. Neil; Finger, Alan R. (2015-06-04)
    In 2012, the Pavement Management Systems Group at the North Carolina Department of Transportation (NCDOT) began a research project with the University of North Carolina at Charlotte to significantly update and improve the pavement distress performance curves used in the optimization module of the Pavement Management System (PMS). The incoming model updates caused the Pavement Management Systems group to begin a major evaluation of the decision trees used in the PMS and how they interacted with the new models. This combination of changes greatly altered the outcome of analysis results and, in general, appears to have led to a more accurate representation of pavement behavior for North Carolina's 80,000 center-line mile (128,747 kilometer) highway network. The paper describes the overall changes in the models and decision trees, the impact to funding of those changes to strategic analysis results and how those impacts were communicated to decision makers.