TECHNICAL PAPERS
Nov 15, 2011

Development of Truck Loading Groups for the Mechanistic-Empirical Pavement Design Guide

Publication: Journal of Transportation Engineering
Volume 137, Issue 12

Abstract

A key to the use of weigh-in-motion (WIM) traffic data for the Mechanistic-Empirical Pavement Design Guide (MEPDG) is to be able to successfully recognize the differences in loading patterns and to estimate the full axle-load spectrum data occurring under different conditions. However, how to identify these patterns on the basis of the large amount of WIM data remains a challenge. In this paper, WIM data collected in the state of Arkansas are analyzed by using cluster analysis methodologies to identify groups of WIM sites with similar traffic characteristics on the basis of the MEPDG-required traffic attributes. Case studies are presented and the cluster results are discussed. Combining the loading clusters, four long-term transportation planning factors currently adopted in Arkansas, including the modified Arkansas primary highway network (APHN) classification, demography, geography, and region attribute (rural or urban) of a highway under design, are adopted as the influencing criteria to develop the truck loading groups. The most significant influencing criteria are identified by using Fisher’s exact test. Consequently, truck loading groups and their categorical logit models are developed in the paper. The developed method for determining truck loading groups will simplify the understanding and applicability of the traffic patterns and ultimately ease the preparation of the traffic load spectra inputs on the basis of WIM data for the MEPDG procedure.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The analyses described in this paper were conducted in association with research sponsored by the Arkansas State Highway and Transportation Department and the Federal Highway Administration. The views and conclusions expressed are those of the writers, who are responsible for the facts and accuracy of the data presented, and do not necessarily represent the official views of the sponsoring agencies. This paper does not constitute a regulation, standard, or specification.

References

Agresti, A. (2002). Categorical data analysis, 2nd Ed., Wiley, Gainesville, FL.
Al-Yagout, M. A., Mahoney, J., Pierce, L., and Hallenbeck, M. (2005). Improving traffic characterization to enhance pavement design and performance: Load spectra development (WA-RD 600.1), Washington State Transportation Center, Univ. of Washington, Seattle.
Arkansas Highway and Transportation Department (AHTD). (2007). Arkansas statewide long-range intermodal transportation plan: 2007 update, Arkansas Highway and Transportation Dept., Little Rock, AR.
Austroads. (2008). Austroads guide to pavement technology, Part 2: Pavement structural design, Sydney, Australia.
Coree, B., Ceylan, H., and Harrington, D. (2005). Implementing the mechanistic-empirical pavement design guide, Technical Rep. (IHRB project TR-509), Iowa State Univ., Ames, IA.
Federal Highway Administration (FHWA). (2001a). Guide to LTPP traffic data collection and processing, Federal Highway Administration, U.S. Dept. of Transportation, Washington, DC.
Federal Highway Administration (FHWA). (2001b). Traffic monitoring guide, Federal Highway Administration, U.S. Dept. of Transportation, Washington, DC.
Hall, K. D., and Beam, S. (2005). “Estimating the sensitivity of design input variables for rigid pavement analysis with a mechanistic-empirical design guide.” Transportation Research Record 1919, Transportation Research Board, National Research Council, Washington, DC., 15–24.
Hallenbeck, M., and Weinblatt, H. (2004). “Equipment for collecting traffic load data.” NCHRP Rep. 509, Transportation Research Board of the National Academies, Washington, DC.
Hardle, W., and Simar, L. (2003). Applied multivariate statistical analysis, Springer-Verlag, New York.
Li, Q. (2009). “Database and modeling for the mechanistic empirical pavement design guide (MEPDG).” Ph.D. thesis, Univ. of Arkansas, Fayetteville, AR.
Lu, Q., and Harvey, J. T. (2006). “Characterization of truck traffic in California for mechanistic-empirical design.” Transportation Research Record 1945, Transportation Research Board, Washington, DC, 61–72.
Lu, Q., Zhang, Y., and Harvey, J. T. (2009). “Estimation of truck traffic inputs for m-e pavement design in California.” 84th Transportation Research Board Annual Meeting (CD ROM), Washington, DC.
National Cooperative Highway Research Program (NCHRP). (2004). “Guide for mechanistic-empirical design of new and rehabilitated pavement structures.” NCHRP Rep. 1-37A, Transportation Research Board, Washington, DC.
Papagiannakis, A. T., Bracher, M., and Jackson, N. C. (2006). “Utilizing clustering techniques in estimating traffic data input for pavement design.” J. Transp. Eng., 132(11), 872–879.
Prozzi, J. A., and Hong, F. (2005). “Hierarchical axle load data for mechanistic-empirical design.” 84th Transportation Research Board Annual Meeting (CD-ROM), Washington, DC.
SAS Version 9.0 [Computer software]. SAS Institute Inc., Cary, NC.
Sayyady, F., Stone, J. R., Taylor, K. L., Jadoun, F. M., and Kim, Y. R. (2010). “Using clustering analysis to characterize mepdg traffic data in North Carolina.” 89th Transportation Research Board Annual Meeting (CD-ROM), Washington, DC.
Tam, W. O., and Von Quintus, H. (2003). “Use of long-term pavement performance data to develop traffic defaults in support of mechanistic—empirical pavement design procedures.” Transportation Research Record 1855, Transportation Research Board, Washington, DC., 176–182.
Tran, N. H., and Hall, K. D. (2007). “Development and influence of statewide axle load spectra on flexible pavement performance.” Transportation Research Record 2037, Transportation Research Board, Washington, DC, 106–114.
Wang, Y., Hancher, D. E., and Mahboub, K. (2007). “Axle load distribution for mechanistic-empirical pavement design.” J. Transp. Eng., 133(8), 469–479.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 137Issue 12December 2011
Pages: 855 - 862

History

Received: Oct 31, 2009
Accepted: Mar 21, 2011
Published online: Nov 15, 2011
Published in print: Dec 1, 2011

Permissions

Request permissions for this article.

Authors

Affiliations

Kelvin C. P. Wang, M.ASCE [email protected]
Professor, Dept. of Civil Engineering, Oklahoma State Univ., Stillwater, OK 74078 (corresponding author). E-mail: [email protected]
Qiang Li, S.M.ASCE [email protected]
Engineer Associate IV, Applied Pavement Technology Inc., 115 W. Main St., Suite 400, Urbana, IL 61820; formerly, Dept. of Civil Engineering, Univ. of Delaware, DE 19716. E-mail: [email protected]
Kevin D. Hall, M.ASCE
Professor and Head, Dept. of Civil Engineering, Univ. of Arkansas, AR 72701.
Vu Nguyen, S.M.ASCE
Postdoctoral Researcher, Dept. of Civil Engineering, Oklahoma State Univ., Stillwater, OK 74078; formerly, Dept. of Civil Engineering, Univ. of Arkansas, AR 72701.
Danny X. Xiao, S.M.ASCE
Ph.D. Candidate, Dept. of Civil Engineering, Univ. of Arkansas, AR 72701.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share