Pavement Crack Rating Using Machine Learning Frameworks: Partitioning, Bootstrap Forest, Boosted Trees, Naïve Bayes, and K -Nearest Neighbors-Reference-Cited by-同舟云学术

Pavement Crack Rating Using Machine Learning Frameworks: Partitioning, Bootstrap Forest, Boosted Trees, Naïve Bayes, and K -Nearest Neighbors

Published:2019-09 Issue:3 Volume:145 Page:04019031
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Inkoom Sylvester¹,Sobanjo John²,Barbu Adrian³^ORCID,Niu Xufeng⁴

Affiliation:

1. Graduate Alumini, Dept. of Civil and Environmental Engineering, Florida Agricultural and Mechanical Univ.–Florida State Univ. College of Engineering, 2525 Pottsdamer St., Tallahassee, FL 32310 (corresponding author).

2. Professor, Dept. of Civil and Environmental Engineering, Florida Agricultural and Mechanical Univ.–Florida State Univ. College of Engineering, 2525 Pottsdamer St., Tallahassee, FL 32310.

3. Associate Professor, Dept. of Statistics, Florida State Univ., 214 Rogers Bldg. (OSB), 117 N Woodward Ave., Tallahassee, FL 32306. ORCID:

4. Professor, Dept. of Statistics, Florida State Univ., 214 Rogers Bldg. (OSB), 117 N Woodward Ave., Tallahassee, FL 32306.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JPEODX.0000126

Reference59 articles.

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2. Development of a Pavement Rutting Model from Experimental Data

3. Attoh-Okine B. 1993. “Addressing uncertainties in flexible pavement maintenance decisions at project level using Bayesian influence diagrams.” In Proc. Infrastructure: Planning and management 362–366. Reston VA: ASCE.

4. Attoh-Okine N. O. 1994. “Predicting roughness progression in flexible pavements using artificial neural networks.” In Vol. 1 of Proc. 3rd Int. Conf. on Managing Pavements. Washington DC: Transportation Research Board.

5. Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance

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