Measured versus Default Interstate Traffic Data in New Mexico, USA

This study investigates how the site specific traffic data differs from the Mechanistic Empirical Pavement Design Software default values. Two Weigh-in-Motion (WIM) stations were installed in Interstate-40 (I-40) and Interstate-25 (I-25) to developed site specific data. A computer program named WIM Data Analysis Software (WIMDAS) was developed using Microsoft C-Sharp (.Net) for quality checking and processing of raw WIM data. A complete year data from November 2013 to October 2014 was analyzed using the developed WIM Data Analysis Program. After that, the vehicle class distribution, directional distribution, lane distribution, monthly adjustment factor, hourly distribution, axle load spectra, average number of axle per vehicle, axle spacing, lateral wander distribution, and wheelbase distribution were calculated. Then a comparative study was done between measured data and AASHTOWare default values. It was found that the measured general traffic inputs for I-40 and I-25 significantly differ from the default values.




References:
[1] Mechanistic-Empirical Pavement Design Guide, Interim Edition: A
Manual of Practice. American Association of State Highway and
Transportation Officials (AASHTO), Washington, D. C., 2008.
[2] Tarefder, R. and J. I. Rodriguez-Ruiz. WIM Data Quality and its
Influence on Predicted Pavement Performance. Transportation Letters:
The International Journal of Transportation Research, 5(3), 2013, pp.
154-163.
[3] Timm, D. H., J. M. Bower, and R. E. Turochy. Effect of Load Spectra
on Mechanistic–Empirical Flexible Pavement Design. In Transportation
Research Record: Journal of the Transportation Research Board, No. 1947, Transportation Research Board of the National Academies,
Washington, D.C., 2006, pp. 146–154.
[4] Tran, N. H., and K. D. Hall. Development and Influence of Statewide
Axle Load Spectra on Flexible Pavement Performance. In
Transportation Research Record: Journal of the Transportation
Research Board, No. 2037, Transportation Research Board of the
National Academies, Washington, D.C., 2007, pp. 106–114.
[5] Tran, N. H., and K. D. Hall. Development and Significance of Statewide
Volume Adjustment Factors in Mechanistic-Empirical Pavement Design
Guide. In Transportation Research Record: Journal of the
Transportation Research Board, No. 2037, Transportation Research
Board of the National Academies, Washington, D.C., 2007, pp. 97–105.
[6] Ishak, S., H. C. Shin, B. K. Sridhar, and Z. Zhang. Characterization and
Development of Truck Axle Load Spectra for Future Implementation of
Pavement Design Practices in Louisiana. In Transportation Research
Record: Journal of the Transportation Research Board, No. 2153,
Transportation Research Board of the National Academies, Washington,
D.C., 2010, pp. 121–129.
[7] Haider, S. W., R. S. Harichandran, and M. B. Dwaikat. Effect of Axle
Load Measurement Errors on Pavement Performance and Design
Reliability. In Transportation Research Record: Journal of the
Transportation Research Board, No. 2160, Transportation Research
Board of the National Academies, Washington, D.C., 2010, pp. 107–
117.
[8] Romanoschi, S. A., S. Momin, S. Bethu, L. Bendana. Development of
Traffic Inputs for the new ME Pavement Design Guide: a Case Study.
Journal of Transportation Engineering, Vol. 2256, 2011, pp. 142–150.
[9] Smith, B. C., and B. K. Diefenderfer. Analysis of Virginia-Specific
Traffic Data for Use with the Mechanistic-Empirical Pavement Design
Guide. In Transportation Research Record: Journal of the
Transportation Research Board, No. 2154, Transportation Research
Board of the National Academies, Washington, D.C., 2010, pp. 100–
107.
[10] Darter, M., L. Titus-Glover, and D. Wolf. Development of a Traffic
Data Input System in Arizona for the MEPDG. Final Report, Report No.
FHWA-AZ-13-672, 2013, Arizona Department of Transportation,
Phoenix, AZ.
[11] Islam, M. R., R. A. Tarefder, and I. Syed. Measurements of Lateral
Distribution of Vehicle Wheels and its Effect on Fatigue Life of Asphalt
Concrete. 3rd International Conference on Transportation
Infrastructure (ICTI), April 22-25, 2014, Pisa, Italy, pp. 379–383.