Statistical Mixed Effects Models for Evaluation and Prediction of Accelerated Pavement Testing Results-Reference-Cited by-同舟云学术

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Statistical Mixed Effects Models for Evaluation and Prediction of Accelerated Pavement Testing Results

Published:2006-10 Issue:10 Volume:132 Page:771-780
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Onar Arzu¹²³³,Thomas Fridtjof¹²³³,Choubane Bouzid¹²³³,Byron Tom¹²³³

Affiliation:

1. Dept. of Biostatistics, St. Jude Children’s Research Hospital, Mailstop 768, 332 North Lauderdale St., Memphis, TN 38105-2794.

2. VTI (Swedish National Road and Transport Research Institute), SE–58195, Linköping, Sweden.

3. Materials Research Park, State Materials Office, Florida Dept. of Transportation, 5007 NE 39th Ave., Gainesville, FL 32609.

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%3A10%28771%29

Reference19 articles.

1. Development of a Pavement Rutting Model from Experimental Data

2. Estimation of Rutting Models by Combining Data from Different Sources

3. Archilla A. R. and Madanat S. (2001b). “Statistical model of pavement rutting in asphalt concrete mixes.” Transportation Research Record 1764 Transportation Research Board Washington D.C. 70–77.

4. A Nonlinear Random-Coefficients Model for Degradation Testing

5. Model Building in Accelerated Experiments

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1. An appraisal of statistical and probabilistic models in highway pavements;Turkish Journal of Engineering;2024-04-30

2. Field Assessment of Cold In-Place Recycled Asphalt Mixtures Using Accelerated Pavement Testing;Journal of Transportation Engineering, Part B: Pavements;2022-09

3. An approach to investigate the supplementary inconsistency between time series data for predicting road pavement performance models;International Journal of Pavement Engineering;2022-03-09

4. Identification and estimation of latent group-level-effects in infrastructure performance modeling;EURO Journal on Transportation and Logistics;2015-03

5. Explaining Heterogeneity in Pavement Deterioration: Clusterwise Linear Regression Model;Journal of Infrastructure Systems;2014-06

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