Development of Truck Loading Groups for the Mechanistic-Empirical Pavement Design Guide

摘要: A key to the use of weigh-in-motion (WIM) traffic data for Mechanistic-Empirical Pavement Design Guide (MEPDG) is be able successfully recognize differences in loading patterns and estimate full axle-load spectrum occurring under different conditions. However, how identify these on basis large amount WIM remains a challenge. In this paper, collected state Arkansas are analyzed by using cluster analysis methodologies groups sites with similar characteristics MEPDG-required attributes. Case studies presented results discussed. Combining clusters, four long-term transportation planning factors currently adopted Arkansas, including modified primary highway network (APHN) classification, demography, geography, region attribute (rural or urban) design, as influencing criteria develop tr...