00637677

Component

http://onlinepubs.trb.org...trr/1993/1388/1388-009.pdf

A statistical approach was used to characterize axle loads of heavy vehicles for use in highway pavement design and performance analysis. On the basis of actual axle loads of 12,638 vehicles measured on Singapore roads, the characteristics of variations of vehicle gross weights and axle loads were investigated. Vehicles were grouped into various classes according to their axle configurations. Weibull functions were used to model distributions of vehicle weights by vehicle class. Various models of axle load distributions were examined, and it was found that a second-order polynomial regression model offered the best estimates of axle loads. On the basis of the analysis of the axle load data, there is a need to conduct axle load studies to provide reliable estimates of traffic loading for effective management of the existing road network and the economical design of new pavements.

This paper appears in Transportation Research Record No. 1388, Rigid and Flexible Pavement Design and Rehabilitation. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

01403222

English

p. 70-79

1993

Transportation Research Record

0309054575

Figures (5) ; References (15) ; Tables (9)

Axle load force; Estimating; Heavy vehicles; Mathematical models; Pavement design; Pavement performance; Physical distribution; Statistical analysis; Vehicle classification; Vehicle weight

Data and Information Technology; Design; Freight Transportation; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB, ATRI

Sep 28 1993 12:00AM

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