Machine Learning–Based Framework for Prediction of Retroreflectivity Degradation of Pavement Markings across the US-Reference-Cited by-同舟云学术

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Machine Learning–Based Framework for Prediction of Retroreflectivity Degradation of Pavement Markings across the US

Published:2024-06 Issue:2 Volume:150 Page:
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Idris Ipshit Ibne¹^ORCID,Mousa Momen²,Hassan Marwa M.³^ORCID

Affiliation:

1. Graduate Teaching Assistant, Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA 70803. ORCID: .

2. Assistant Professor of Construction Management, Dept. of Engineering Technology, Sam Houston State Univ., Huntsville, TX 77341.

3. CETF Distinguished Professor, Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA 70803 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.PVENG-1382

Reference51 articles.

1. Cost-and longevity-based scheduling of paint and thermoplastic striping;Abboud N.;Transp. Res. Rec.,2002

2. On the Importance of the Pearson Correlation Coefficient in Noise Reduction

3. Modelling the effect of various factors on the condition of pavement marking

4. A genetic algorithm approach to optimising random forests applied to class engineered data

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