Comparison between Alternative Methods for Estimating Vehicle Class Distribution Input to Pavement Design
Publication: Journal of Transportation Engineering
Volume 140, Issue 4
Abstract
The recently developed mechanistic-empirical pavement design guide (M-E PDG) represents a significant improvement over the AASHTO design guide. One of the major improvements to the M-E PDG is traffic characterization. The M-E PDG does not use the equivalent single axle load (ESAL) approach that is employed in the AASHTO design guide. Instead, it follows a more rational approach that is based on describing traffic in terms of number of axles by axle type and axle load distributions. In recent years, several research studies have been conducted to evaluate the sensitivity of the M-E PDG to the required traffic inputs. It was determined that vehicle class distribution (VCD) has a significant influence on the design of pavement structures. This study investigated various methods for estimating the VCD factors based on functional classification (FC), truck traffic classification (TTC), cluster analysis, and short-term counts. An extensive traffic monitoring data set that included information from 143 permanent traffic monitoring sites, composed of 93 automated vehicle classifier (AVC) and 50 weigh-in-motion (WIM) sites distributed throughout the state of Ohio, was used to evaluate these methods. A sensitivity analysis was also conducted to determine the effect of these methods on the predicted pavement service life. It was found that the functional classification, M-E PDG TTC grouping system and cluster analysis methods may significantly underestimate or overestimate the predicted pavement service life, whereas the short-term count method produces small variations in the predicted pavement service life. This suggests that the short-term count method is the most accurate method for estimating the VCD factors to be used in pavement design.
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Acknowledgments
The research presented in this paper was sponsored by the Ohio department of transportation (ODOT) and the Federal Highway Administration (FHWA). The authors would like to thank Mr. Roger Green, Mr. Aric Morse, Mr. Adam Au, Mr. Patrick Bierl, Mr. Dave Gardner, Ms. Lindsey Pflum, and Mr. Tony Manch of ODOT Office of Pavement Engineering and Traffic Monitoring Section for their valuable contributions to this study.
References
Abbas, A., and Frankhouser, A. (2012). “Improved characterization of truck traffic volumes and axle loads for mechanistic-empirical pavement design.”, Ohio Dept. of Transportation (ODOT), Columbus, OH.
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 (MDOT), Lansing, MI.
El-Badawy, S. M., Bayomy, F. M., and Fugit, S. W. (2012). “Traffic characteristics and their impact on pavement performance for the implementation of the mechanistic-empirical pavement design guide in Idaho.” Int. J. Pavement Res. Tech., 5(6), 386–394.
Federal Highway Administration (FHWA). (2001). Traffic monitoring guide, 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.”, Transportation Research Board, National Research Council, Washington, DC, 179–190.
Lu, Q., and Harvey, J. T. (2006). “Characterization of truck traffic in California for mechanistic-empirical design.”, Transportation Research Board, National Research Council, Washington, DC, 61–72.
Lu, Q., Zhang, Y., and Harvey, J. T. (2009). “Estimation of truck traffic inputs for mechanistic-empirical pavement design in California.”, Transportation Research Board, National Research Council, Washington, DC, 62–72.
Mallela, J., Glover, L. T., Darter, M. I., Von Quintus, H., Gotlif, A., and Stanley, M. (2009). “Guidelines for implementing NCHRP 1-37A M-E design procedures in Ohio: Volume 3—sensitivity analysis.”, Ohio Dept. of Transportation (ODOT), Columbus, OH.
National Cooperative Highway Research Program (NCHRP). (2004). “Guide for mechanistic-empirical design of new and rehabilitated pavement structures.”, Transportation Research Board, National Research Council, Washington, DC.
Papagiannakis, A., Bracher, M., and Jackson, N. (2006b). “Utilizing clustering techniques in estimating traffic data input for pavement design.” J. Transp. Eng., 872–879.
Papagiannakis, A., Bracher, M., Li, J., and Jackson, N. (2006a). “Sensitivity of NCHRP 1–37A pavement design to traffic input.”, Transportation Research Board, National Research Council, Washington, DC, 49–55.
Regehr, J. D. (2011). “Understanding and anticipating truck fleet mix characteristics for mechanistic-empirical pavement design.” Proc., 90th Annual Transportation Research Board Meeting, Washington, DC.
Romanoschi, S. A., Momin, S., Bethu, S., and Bendana, L. (2011). “Development of traffic inputs for new mechanistic-empirical pavement design guide: Case study.”, Transportation Research Board, National Research Council, Washington, DC, 142–150.
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.”, Transportation Research Board, National Research Council, Washington, DC, 118–127.
Stone, J. R., et al. (2011). “Development of traffic data input resources for the mechanistic empirical pavement design process.”, North Carolina Dept. of Transportation (NCDOT), Raleigh, NC.
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.”, Transportation Research Board, National Research Council, Washington, DC, 54–62.
Tran, N. H., and Hall, K. D. (2007). “Development and significance of statewide volume adjustment factors in mechanistic—empirical pavement design guide.”, Transportation Research Board, National Research Council, Washington, DC, 97–105.
Wang, K., Li, Q., Hall, K., Nguyen, V., and Xiao, D. (2011). “Development of truck loading groups for the mechanistic-empirical pavement design guide.” J. Transp. Eng., 855–862.
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Information
Published In
Journal of Transportation Engineering
Volume 140 • Issue 4 • April 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Feb 2, 2013
Accepted: Nov 6, 2013
Published online: Jan 31, 2014
Published in print: Apr 1, 2014
Discussion open until: Jun 30, 2014
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