Impacts of Increased Prediction Accuracy in Management Decisions: A Study of Full-Depth Reclamation Pavements-Reference-Cited by-同舟云学术

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Impacts of Increased Prediction Accuracy in Management Decisions: A Study of Full-Depth Reclamation Pavements

Published:2024-03 Issue:1 Volume:30 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Evers Elijah¹^ORCID,Torres-Machi Cristina²^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, Boulder, CO 80309. ORCID:

2. Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado Boulder, 1111 Engineering Dr. 428 UCB, Boulder, CO 80309 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JITSE4.ISENG-2400

Reference58 articles.

1. AASHTO. 2020. Mechanistic-empirical pavement design guide. Washington, DC: AASHTO.

2. Ahmed, N. S., and M. Hikmat Sadiq. 2018. Clarify of the random forest algorithm in an educational field, 179–184. New York: IEEE. https://doi.org/10.1109/ICOASE.2018.8548804.

3. Al-Mosawe H. 2016. “Prediction of permanent deformation in asphalt mixtures.” Ph.D. thesis Dept. of Civil Engineering Univ. of Nottingham.

4. Pavement Cracking

5. Evaluating the Potential Environmental Benefits of Cold Recycling-Based Methods for Flexible Pavement Rehabilitation in Virginia

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