Traffic Data Support for Mechanistic-Empirical Pavement Design Guide

摘要: Traffic loads are one of the key data elements required for design and analysis pavement structures. Traditionally mixed traffic stream was aggregated into equivalent single-axle (ESALs) applied empirical performance equations. The Mechanistic Empirical Pavement Design Guide (MEPDG) proposes a more direct rational approach to characterizing in term full axle-load spectrum each axle type group. To meet requirements MEPDG, automated collection techniques needed. However, collected with sites often have errors. This is particularly true from weight motion (WIM) sites. It consumes large computing resources process data. As raw WIM monitoring files huge size, which requires pre-processing reduction before it can be used MEPDG. Currently there no satisfactory software analyze produce inputs In this paper, developed made pre-process, import, check quality data, generate MEPDG software. With Arkansas Highway Transportation Department (AHTD), following tasks undertaken research: (1) develop database tables uploading, checking, generating require MEPDG; (2) pre-process import designed tables; (3) Check (4) input