01333304

Component

https://doi.org/10.3141/2256-20

http://scholar.google.com...rell&publication_year=2011

The purpose of this study was to evaluate the Virginia Department of Transportation’s traffic data plan for implementation of the "Mechanistic–Empirical Pavement Design Guide" (MEPDG) with weigh-in-motion (WIM) data from 22 sites in Virginia for 2007 and 2008. The evaluation included an assessment of the WIM data for pavement design and for enforcement of overloaded trucks and the appropriateness of the truck weight groups. Grouping the sites on the basis of average equivalent single-axle loads was notably different from the current truck weight groups and grouping results based on traffic characteristics such as truck volume. Thus, further efforts to suggest a better grouping scheme are needed. For calculating monthly traffic factors, an input to the MEPDG, volume data from WIM sites could lead to biased results. Thus, vehicle classification count data are a better source than WIM data for the factors. The enforcement sites were found to carry heavier trucks in terms of average equivalent single-axle loads than the sites installed for pavement data collection. Thus, the concern that truck weights collected at the enforcement sites might be inappropriate for pavement design because of possible avoidance of the sites by overloaded trucks seems unwarranted. However, because of several factors and limitations, a definitive conclusion regarding this result could not be drawn.

01362484

11-2293

English

pp 169-178

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222921

Print

Figures (7) ; References (8) ; Tables (2)

Equivalent single axle loads; Overweight loads; Pavement design; Traffic data; Trucks; Vehicle classification; Weigh in motion

Mechanistic-Empirical Pavement Design Guide

Virginia

Data and Information Technology; Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways

TRIS, TRB

Feb 17 2011 6:07PM

• Algorithm for Finding Optimal Paths in a Public Transit Network with Real-Time Data
• Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems
• Axle Load Distribution for Mechanistic–Empirical Pavement Design in North Carolina: Multidimensional Clustering Approach and Decision Tree Development
• Capturing Transportation Infrastructure Performance: Data Availability, Needs, and Challenges
• Centrality Characteristics of Road Network Patterns of Traffic Analysis Zones
• Counting Motorcycles and Estimating Motorcycle Vehicle Miles of Travel
• Detection and Correction of Inductive Loop Detector Sensitivity Errors by Using Gaussian Mixture Models
• Development of Traffic Inputs for "Mechanistic–Empirical Pavement Design Guide" in Michigan
• Development of Traffic Inputs for New "Mechanistic–Empirical Pavement Design Guide": Case Study
• Discriminant Analysis for Assigning Short-Term Counts to Seasonal Adjustment Factor Groupings
• Estimating Route Choice and Travel Time Reliability with Field Observations of Bluetooth Probe Vehicles
• Estimation of Dynamic Traffic Densities for Official Statistics: Combined Use of Data from Global Positioning System and Loop Detectors
• Evaluation of Nonintrusive Technologies for Traffic Detection, Phase 3
• Forecasting Traffic Loads for Mechanistic–Empirical Pavement Design
• Future Scenarios for Traffic Information and Management
• Identifying and Correcting Pulse-Breakup Errors from Freeway Loop Detectors
• Innovative Real-Time Methodology for Detecting Travel Time Outliers on Interstate Highways and Urban Arterials
• Is Usual Share of Commuting Mode Always Greater Than Its Actual Share?
• License Plate Image Binarization Based on Chromatic Information and Fuzzy C-Mean Approach
• Network Stratification Method by Travel Time Variation
• Travel Time Prediction Using k Nearest Neighbor Method with Combined Data from Vehicle Detector System and Automatic Toll Collection System