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Title: Estimation of Truck Traffic Inputs for Mechanistic–Empirical Pavement Design in California
Accession Number: 01124864
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: This study developed default truck traffic inputs for mechanistic–empirical pavement design procedures for the California highway system based on California weigh-in-motion (WIM) data. Both cluster analysis and regression analysis were applied to develop the default axle load spectra. Regression analysis produced unsatisfactory results so it was not used. On the basis of cluster analysis of axle load spectra, the WIM sites were divided into several groups, and default truck traffic inputs were estimated for each group. A decision tree was developed to help designers select the appropriate default factors based on easily available information: geographic location and traffic volume and composition. These data can be obtained from the California Department of Transportation annual report of annual average daily truck traffic. Traffic inputs were developed for both the Caltrans Mechanistic–Empirical Pavement Design and NCHRP Mechanistic–Empirical Pavement Design Guide software.
Monograph Title: Monograph Accession #: 01145025
Report/Paper Numbers: 09-2121
Language: English
Authors: Lu, QingZhang, YuHarvey, John TPagination: pp 62-72
Publication Date: 2009
ISBN: 9780309126328
Media Type: Print
Features: Figures
(8)
; References
(8)
; Tables
(2)
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways
Files: PRP, TRIS, TRB, ATRI
Created Date: Jan 30 2009 6:27PM
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