Development of traffic data input resources for the mechanistic empirical pavement design process.
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2011-12-12
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Edition:Final report; July 2007-Aug. 2010.
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Abstract:The Mechanistic-Empirical Pavement Design Guide (MEPDG) for New and Rehabilitated Pavement Structures uses ; nationally based data traffic inputs and recommends that state DOTs develop their own site-specific and regional ; values. To support the MEPDG NCDOT needs site-specific truck classification counts, truck axle load spectra, ; regional average seasonal adjustment factors, and forecasting methods for truck class volumes. This research ; proposal addresses these NCDOT traffic data and forecasting needs for implementing the MEPDG. ; The research produced the following results: (1) software to process and clean WIM data; (2) database of high ; quality, clean NCDOT vehicle class counts and weight data; (3) simulation studies to guide the selection of ; sensitive traffic data and traffic count locations; (4) techniques for traffic data clustering and seasonal analysis of ; vehicle classification and truck axle loadings; (5) software to prepare datasets and sampling plans for Levels 1, 2, ; and 3 MEPDG requirements (Level 1 site specific, Level 2 seasonal groupings, and Level 3 statewide averages); (6) ; site specific, regional and statewide NC traffic data inputs for Levels 1, 2, and 3 in the MEPDG procedures for ; vehicle class distributions and axle load spectra including seasonality; (7) vehicle class forecasting methods for ; MEPDG procedures; (8) case study demonstrations and analyses; and (9) implementation and management plan for ; MEPDG traffic data.
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