Utilizing Clustering Techniques in Estimating Traffic Data Input for Pavement Design-Reference-Cited by-同舟云学术

Utilizing Clustering Techniques in Estimating Traffic Data Input for Pavement Design

Published:2006-11 Issue:11 Volume:132 Page:872-879
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Papagiannakis A. T.¹²³,Bracher M.¹²³,Jackson N. C.¹²³

Affiliation:

1. Professor and Dept. Chair, Dept. of Civil and Environmental Engineering, Univ. of Texas-San Antonio, San Antonio, TX 78249-0668; formerly, Professor, Dept. of Civil Engineering, Washington State Univ., Pullman, WA 99164-2910.

2. Project Engineer, GEI Consultants, 1021 Main St., Winchester, MA 01890-1970.

3. Senior Project Manager, Nichols Consulting Engineers, 1885 Arlington Ave., Suite 111, Reno, NV 89509.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282006%29132%3A11%28872%29

Reference11 articles.

1. Applied Research Associates (ARA). (2004). “Guide for mechanistic-empirical design of new and rehabilitated pavement structures.” Final Rep. for National Cooperative Highway Research Program Study 1-37A ARA Inc. Albuquerque N.M.

2. Federal Highway Administration (FHwA). (2003). “DataPave Release 16.0.” (CD-ROM) FHwA Washington D.C.

3. Traffic Data Collection Requirements for Reliability in Pavement Design

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