Truck Traffic and Truck Axle Load Spectra on Interstate Highways for Mechanistic-Empirical Pavement Design

被引：0

作者：

Hu, Xiaoqiang ^{[1
]}

Bao, Jieyi ^{[1
]}

Jiang, Yi ^{[1
]}

Li, Shuo ^{[2
]}

Nantung, Tommy ^{[2
]}

机构：

[1] Purdue Univ, Sch Construct Management Technol, W Lafayette, IN 47907 USA

[2] Indiana Dept Transportat, Div Res & Dev, W Lafayette, IN USA

来源：

CONSTRUCTION RESEARCH CONGRESS 2020: COMPUTER APPLICATIONS | 2020年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Accurate truck traffic information is essential for generating appropriate pavement designs with the American Association of State Highway and Transportation Officials (AASHTO) Mechanistic-Empirical Pavement Design Guide (MEPDG) methodology. As traffic volumes and traffic compositions continuously change, the truck traffic and axle loads must be updated periodically to provide accurate input for pavement design with MEPDG. This paper presents the results of an effort to obtain the magnitudes and distributions of truck traffic on interstate highways from the weigh-in-motion (WIM) and automatic traffic recorder (ATR) data in Indiana. The truck traffic features include annual distribution, seasonal distribution, weekly distribution, hourly distribution, and directional distribution, and axle weight distributions. The axle load spectra are calculated and displayed for single axle, tandem axle, and tridem axle arrangements of all types of buses and trucks.

引用

页码：380 / 388

页数：9

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