Estimation of Rutting Models by Combining Data from Different Sources-Reference-Cited by-同舟云学术

Estimation of Rutting Models by Combining Data from Different Sources

Published:2001-10 Issue:5 Volume:127 Page:379-389
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Archilla Adrián Ricardo¹²³,Madanat Samer¹²³

Affiliation:

1. Associate Member, ASCE

2. Prof. Titular, Escuela de Ingeniería de Caminos de Montaña, Universidad Nacional de San Juan, Av. Libertador San Martín 1109 (O), San Juan, 5400, Argentina. archilla@eicam.unsj.edu.ar

3. Assoc. Prof., Dept. of Civ. and Envir. Engrg., Univ. of California, Berkeley, CA 94720. madanat@newton.berkeley.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282001%29127%3A5%28379%29

Reference9 articles.

1. American Association of State Highway and Transportation Officials. (AASHTO). ( 1993). AASHTO guide for design of pavement structures Washington D.C.

2. American Association of State Highway and Transportation Officials. (AASHTO). ( 1997). “Standard specification for superpave volumetric mix design.” AASHTO Provisional Standard Designation MP2-95 Washington D.C.

3. Archilla A. R. ( 2000). “Development of rutting progression models by combining data from multiple sources.” PhD dissertation University of California Berkeley.

4. Archilla A. R. and Madanat S. ( 2001). “Statistical model of pavement rutting in asphalt concrete mixes.” Transp. Res. Rec. (in press).

5. Ben-Akiva M. and Morikawa T. ( 1990). “Estimation of switching models from revealed preferences and stated intentions.” Transp. Res. Vol. 24A(6) 485–495.

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