摘要: |
Traffic loading is one of the key inputs for the structural design and analysis of pavement structures using both the AASHTO Guide for Pavement Design (1993) and the Mechanistic-Empirical Pavement Design Guide (MEPDG). Traffic data provides necessary information in terms of traffic load distributions, intensity and number of repetitions. While the AASHTO design method use the number of axle load repetitions in the design/ analysis period in terms of equivalent singe axle loads (ESALS), the MEPDG on the contrary requires proper traffic characterization to determine traffic parameters required as inputs for the pavement design process. MEPDG was developed by the National Cooperative Highway Research Programs (NCHRP), Project 1-37A (2004), to provide pavement engineers with a more effective design guide that responds to changing design inputs, needs and the environment. The implementation of the MEPDG requires a large number of design inputs that characterizes traffic, pavement materials and climate. To facilitate the design process, MEPDG provides a hierarchical approach for traffic data input requirements, known as level 1, 2 and 3 [NCHRP, 2004]. Level 1: Site specific data with very good knowledge of past and future traffic characteristics Level 2: Regional or statewide data, with modest knowledge of past and future traffic characteristics. Level 3: Poor or limited knowledge of past and future traffic characteristics. UTC is studying Tennessee traffic data in order to provide TDOT with calibrated traffic data input parameters for MEPDG level 2. |