Use of Recurrent Markov Chains for Modeling the Crack Performance of Flexible Pavements-Reference-Cited by-同舟云学术

Use of Recurrent Markov Chains for Modeling the Crack Performance of Flexible Pavements

Published:2005-11 Issue:11 Volume:131 Page:861-872
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Yang Jidong¹²³⁴,Gunaratne Manjriker¹²³⁴,Lu Jian John¹²³⁴,Dietrich Bruce¹²³⁴

Affiliation:

1. Transportation Engineer, Tindale-Oliver and Associates, Inc., 1000 N. Ashley Dr., Suite 100, Tampa, FL 33602; formerly, PhD graduate, Univ. of South Florida.

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of South Florida, Tampa, FL 33620.

3. Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of South Florida, Tampa, FL 33620.

4. State Pavement Engineer, Florida Dept. of Transportation, Tallahassee, FL 32399.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282005%29131%3A11%28861%29

Reference12 articles.

1. Assessment of Infrastructure Inspection Needs Using Logistic Models

2. Butt A. A. Feighan K. J. Shahin M. Y. and Carpenter S. (1987). “Pavement performance prediction using the Markov process.” Transportation Research Record 1123 Transportation Research Board Washington D.C. 12–19.

3. Goodness of fit tests for the multiple logistic regression model

4. Jiang Y. Saito M. and Sinha K. C. (1988). “Bridge performance prediction model using the Markov chain.” Transportation Research Record 1180 Transportation Research Board Washington D.C. 25–32.

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Neural Network-based model to predict the International Roughness Index of national highways in Nepal;Transportation Research Interdisciplinary Perspectives;2024-05

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

3. Novel Instance-Based Transfer Learning for Asphalt Pavement Performance Prediction;Buildings;2024-03-21

4. Stochastic process;Data Analysis in Pavement Engineering;2024

5. Effect of Data Imbalance on the Performance of Pavement Deterioration Models;Transportation Research Record: Journal of the Transportation Research Board;2023-04-28