Clustering Vehicle Class Distribution and Axle Load Spectra for Mechanistic-Empirical Predicting Pavement Performance

Author:

Hasan Md Amanul1,Islam Md Rashadul2,Tarefder Rafiqul A.3

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Engineering, Univ. of New Mexico, MSC01 1070, Albuquerque, NM 87131-0001.

2. Assistant Professor, Dept. of Civil Engineering Technology, Colorado State Univ.-Pueblo, Pueblo, CO 81001 (corresponding author).

3. Professor, Dept. of Civil Engineering, Univ. of New Mexico, MSC01 1070, Albuquerque, NM 87131-0001.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference26 articles.

1. AASHTO. (2008). “Mechanistic-empirical pavement design guide interim edition: A manual of practice.” Washington DC.

2. Comparison between Alternative Methods for Estimating Vehicle Class Distribution Input to Pavement Design

3. Effect of Traffic Load Input Level on Mechanistic–Empirical Pavement Design

4. ASTM. (1994). “Standard practice for classifying highway vehicles from known axle count and spacing.” ASTM E1572-93 West Conshohocken PA.

5. 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.” Research Rep. RC-1516 Michigan Dept. of Transportation Lansing MI.

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