Estimation of Rutting Models by Combining Data from Different Sources
Publication: Journal of Transportation Engineering
Volume 127, Issue 5
Abstract
The accurate prediction of rutting development is an essential element for the efficient management of pavement systems. The objective of this paper is to demonstrate the effectiveness of the estimation of rutting models by combining the information from two data sources, the AASHO and the WesTrack road tests. Combined estimation with both data sources is used to identify parameters that are not identifiable from one data source alone. In addition, this estimation approach also yields more efficient parameter estimates. The results presented in this paper demonstrate that joint estimation produces more realistic parameter estimates than those obtained by using either data set alone. Furthermore, joint estimation allows us to account for the effects of pavement structure, axle load configuration, asphalt concrete mix properties, freeze-thaw cycles, and hot temperatures in a single model. Finally, it allows us to predict the relative contributions of rutting originating both in the asphalt concrete and in the unbound layers in the same model.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
American Association of State Highway and Transportation Officials. (AASHTO). ( 1993). AASHTO guide for design of pavement structures, Washington, D.C.
2.
American Association of State Highway and Transportation Officials. (AASHTO). ( 1997). “Standard specification for superpave volumetric mix design.” AASHTO Provisional Standard, Designation MP2-95, Washington, D.C.
3.
Archilla, A. R. ( 2000). “Development of rutting progression models by combining data from multiple sources.” PhD dissertation, University of California, Berkeley.
4.
Archilla, A. R., and Madanat, S. ( 2001). “Statistical model of pavement rutting in asphalt concrete mixes.” Transp. Res. Rec. (in press).
5.
Ben-Akiva, M., and Morikawa, T. ( 1990). “Estimation of switching models from revealed preferences and stated intentions.” Transp. Res., Vol. 24A(6), 485–495.
6.
Hand, A. ( 1998). “Relationships between laboratory measured HMA material and mixture properties and pavement performance at WesTrack.” PhD dissertation, University of Nevada, Reno.
7.
Highway Research Board (HRB). ( 1962). “AASHO Road Test, Report 5, Pavement research.” Spec. Rep. 61E, Publ. No. 954, National Academy of Sciences—National Research Council, Washington, D.C.
8.
Ostrom, B. K., Walker, D., Harris, S., and Rowshan, S. ( 1997). “Long-term pavement performance information management system data users reference manual.” Rep. No. FHWA-RD-97-001, Ofc. of Engrg. Res. and Devel., Federal Highway Administration, McLean, Va.
9.
Shyr, F. Y. ( 1993). “Combining laboratory and field data in rail fatigue analysis.” PhD dissertation, Massachusetts Institute of Technology, Cambridge, Mass.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 127 • Issue 5 • October 2001
Pages: 379 - 389
History
Received: Feb 29, 2000
Published online: Oct 1, 2001
Published in print: Oct 2001
Authors
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.