01090288

Component

https://doi.org/10.3141/2087-10

http://scholar.google.com...eung&publication_year=2008

The new Mechanistic–Empirical Pavement Design Guide (MEPDG) requires comprehensive traffic inputs to predict pavement performance. Axle load spectra play a critical role in the impact of traffic on pavement performance. Weigh-in-motion (WIM) systems are becoming widely used as an efficient means of collecting traffic load data for mechanistic pavement design. The quality of the WIM-based data, however, remains a concern among pavement engineers. Previous research showed that WIM equipment calibration bias may lead to significant bias in the estimation of equivalent single-axle loads. This study investigated the effect of traffic load measurement bias due to WIM measurement errors on pavement life prediction on the basis of the mechanistic–empirical approach proposed by MEPDG. The results of this study not only support but also advance the existing research in this critical area. The findings of this study can be used to estimate pavement life prediction bias when inaccurate WIM data are used. They can also serve as guidelines for state highway agencies for the selection of WIM equipment and the establishment of criteria for equipment calibration.

01121592

English

pp 91-98

2008

Transportation Research Record: Journal of the Transportation Research Board

9780309126007

Print

Figures (8) ; References (16) ; Tables (3)

Axle loads; Bias (Statistics); Calibration; Data quality; Errors; Pavement design; Pavement performance; Service life; Traffic data; Traffic loads; Weigh in motion; Weigh in motion scales

Mechanistic-Empirical Pavement Design Guide

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways

TRIS, TRB, ATRI

Jan 29 2008 3:17PM

• Accuracy of Current Complex Modulus Selection Procedure from Vehicular Load Pulse: NCHRP Project 1-37A Mechanistic–Empirical Pavement Design Guide
• Adaptation of Mechanistic–Empirical Pavement Design Guide for Design of Minnesota Low-Volume Portland Cement Concrete Pavements
• Benefits of the Minnesota Road Research Project
• Calibration of Mechanistic–Empirical Models for Flexible Pavements Using California Heavy Vehicle Simulators
• Coefficient of Thermal Expansion of Concrete Materials: Characterization to Support Implementation of the Mechanistic–Empirical Pavement Design Guide
• Conversion of Testing Frequency to Loading Time Applied to the Mechanistic–Empirical Pavement Design Guide
• Database Support for the New Mechanistic–Empirical Pavement Design Guide
• Detection of Delamination in Concrete Pavements Using Ground-Coupled Ground-Penetrating Radar Technique
• Dynamic Analysis and In-Situ Validation of Perpetual Pavement Response to Vehicular Loading
• Local Calibration of Mechanistic–Empirical Pavement Design Guide for Flexible Pavement Design
• Pavement Rutting Performance Prediction by Integrated Weibull Approach
• Repeatability of Asphalt Strain Measurements Under Full-Scale Dynamic Loading
• Strain and Pulse Duration Considerations for Extended-Life Hot-Mix Asphalt Pavement Design