01333150

Component

https://doi.org/10.3141/2256-19

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

A multidimensional clustering approach to generate regional average truck axle load distribution factors (ALDFs) for North Carolina is presented. The results support the "Mechanistic–Empirical Pavement Design Guide" (MEPDG). Weigh-in-motion data collected on North Carolina roadways are used in the analysis. A multidimensional clustering analysis based on ALDF data develops representative clusters for different highway functional classifications. Findings show that ALDF clusters have distinct characteristics for primary roads, secondary roads, collectors, and local roads. An easy-to-use decision tree based on available traffic parameters and local knowledge helps the pavement designer select the proper ALDF input. Specific contributions include a multidimensional clustering analysis that is guided by MEPDG damage-based analysis, well-defined ALDF clusters that represent specific traffic patterns in North Carolina, and a decision tree characterized by its simplicity to help pavement designers select ALDF inputs.

01362484

11-2114

English

pp 159-168

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309222921

Print

Figures (5) ; References (24) ; Tables (1)

Axle loads; Cluster analysis; Decision trees; Pavement design; Primary highways; Secondary roads; Weigh in motion

Mechanistic-Empirical Pavement Design Guide

Collector roads; Local roads

North Carolina

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

TRIS, TRB

Feb 17 2011 6:04PM

• Algorithm for Finding Optimal Paths in a Public Transit Network with Real-Time Data
• Analysis of Weigh-in-Motion Data for Truck Weight Grouping in "Mechanistic–Empirical Pavement Design Guide"
• Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems
• 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