Clustering Vehicle Class Distribution and Axle Load Spectra for Mechanistic-Empirical Predicting Pavement Performance
Publication: Journal of Transportation Engineering
Volume 142, Issue 11
Abstract
Past studies have determined the effects of the pavement mechanistic-empirical (ME) default (Level 3) values of vehicle class distribution (VCD) and axle load spectra (ALS) on pavement performance. However, it is still not clear how the clustered VCD and ALS affect the ME predicted pavement performance. In this study, traffic data from 10 weigh-in-motion (WIM) stations were gathered and analyzed to develop the VCD and ALS values using arithmetic average and clustering methods (Level 2). Next, using Level 2, Level 3, and site-specific (Level 1) inputs of VCD and ALS, the pavement ME predicted performance was determined. The results show that the predicted performance by the cluster (Level 2) data are very close to those of the site-specific data (Level 1). Performance generated by the ME default values (Level 3) are significantly different from those generated by the site-specific or cluster values. When comparing the performance of the ME design default (Level 3) with those of the statewide average data, the ME design default VCD produces fewer errors than the ALS. This study recommends using clustered or site-specific WIM data instead of ME default or statewide average value.
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Acknowledgments
This study is funded by the New Mexico Department of Transportation (NMDOT). The authors would like to express their sincere gratitude and appreciation to the Project Technical Panel Members, Project Advocate (Jeff Mann), and the Project Manager (Virgil Valdez) of NMDOT.
References
AASHTO. (2008). “Mechanistic-empirical pavement design guide, interim edition: A manual of practice.” Washington, DC.
Abbas, A. R, Frankhouse, A., and Papagiannakis, A. T. (2014a). “Comparison between alternative methods for estimating vehicle class distribution input to pavement design.” J. Transp. Eng., 04014004.
Abbas, A. R, Frankhouse, A., and Papagiannakis, A. T. (2014b). “Effect of traffic load input on mechanistic-empirical pavement design.” J. Transp. Res. Rec., 2443, 63–77.
ASTM. (1994). “Standard practice for classifying highway vehicles from known axle count and spacing.” ASTM E1572-93, West Conshohocken, PA.
Buch, N., Haider, S. W., Brown, J., and Chatti, K. (2009). “Characterization of truck traffic in Michigan for the new mechanistic–empirical pavement design guide.”, Michigan Dept. of Transportation, Lansing, MI.
Darter, M., Titus-Glover, L., and Wolf, D. (2013). “Development of a traffic data input system in Arizona for the MEPDG.”, Arizona Dept. of Transportation, Phoenix.
FHWA (Federal Highway Administration). (2001). Traffic monitoring guide (TMG), U.S. Dept. of Transportation, Washington, DC.
FHWA (Federal Highway Administration). (2013). Traffic monitoring guide (TMG), U.S. Dept. of Transportation, Washington, DC.
Haider, S. W., Buch, N., Chatti, K., and Brown, J. (2011). “Development of traffic inputs for mechanistic-empirical pavement design guide in Michigan.” Transp. Res. Rec., 2256, 179–190.
Haider, S. W., Harichandran, R. S., and Dwaikat, M. B. (2010). “Effect of axle load measurement errors on pavement performance and design reliability.” Transp. Res. Rec., 2160, 107–117.
Ishak, S., Shin, H. C., Sridhar, B. K., and Zhang, Z. (2010). “Characterization and development of truck axle load spectra for future implementation of pavement design practices in Louisiana.” Transp. Res. Rec., 2153, 121–129.
Lu, Q., Zhang, Y., and Harvey, J. T. (2009). “Estimation of truck traffic inputs for mechanistic-empirical pavement design in California.” Transp. Res. Rec., 2095, 62–72.
MATLAB [Computer software]. MathWorks, Natick, MA.
Papagiannakis, A. T., Bracher, M., and Jackson, N. C. (2006). “Utilizing clustering techniques in estimating traffic data input for pavement design.” J. Transp. Eng., 872–879.
Race, S. L. (2014). “Iterative consensus clustering.” M.S. thesis, North Carolina State Univ., Raleigh, NC.
Ramachandran, A. N., Taylor, K. L., Stone, J. R., and Sajjadi, S. S. (2011). “NCDOT quality control methods for weigh in motion data.” Public Works Manage. Policy, 16(1), 3–19.
Romanoschi, S. A., Momin, S., Bethu, S., and Bendana, L. (2011). “Development of traffic inputs for the new ME pavement design guide: A case study.” TRB 90th Annual Meeting, Transportation Research Board, Washington, DC.
Sayyady, F., Stone, J. R., Taylor, K. L., Jadoun, F. M., and Kim, Y. R. (2010). “Clustering analysis to characterize mechanistic-empirical pavement design guide traffic data in North Carolina.” Transp. Res. Rec., 2160, 118–127.
Smith, B. C., and Diefenderfer, B. K. (2010). “Analysis of Virginia-specific traffic data for use with the mechanistic-empirical pavement design guide.” Transp. Res. Rec., 2154, 100–107.
Swan, D. J., Tardif, R., Hajek, J. J., and Hein, D. K. (2008). “Development of regional traffic data for the mechanistic-empirical pavement design guide.” Transp. Res. Rec., 2049, 54–62.
Tarefder, R. A., and Islam, M. R. (2015). “Study and evaluation of materials response in hot mix asphalt based on field instrumentation.”, New Mexico Dept. of Transportation (NMDOT), Santa Fe, NM, 1–195.
Tarefder, R. A., and Rodriguez-Ruiz, J. I. (2013). “WIM data quality and its influence on predicted pavement performance.” Transp. Lett.: Int. J. Transp. Res., 5(3), 154–163.
Timm, D. H., Bower, J. M., and Turochy, R. E. (2006). “Effect of load spectra on mechanistic-empirical flexible pavement design.” Transp. Res. Rec., 1947, 146–154.
Tran, N. H., and Hall, K. D. (2007a). “Development and influence of statewide axle load spectra on flexible pavement performance.” Transp. Res. Rec., 2037, 106–114.
Tran, N. H., and Hall, K. D. (2007b). “Development and significance of statewide volume adjustment factors in mechanistic-empirical pavement design guide.” Transp. Res. Rec., 2037, 97–105.
Wang, K. C. P., Li, Q., Hall, K. D., Nguyen, V., and Xiao, D. X. (2009). “Development of truck loading groups for the mechanistic-empirical pavement design guide.” J. Transp. Eng., 855–862.
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© 2016 American Society of Civil Engineers.
History
Received: Dec 13, 2015
Accepted: Mar 17, 2016
Published online: Jul 7, 2016
Published in print: Nov 1, 2016
Discussion open until: Dec 7, 2016
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