Cost-effective assessment of in-service asphalt pavement condition based on Random Forests and regression analysis
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference33 articles.
1. Multi-objective optimization for asphalt pavement maintenance plans at project level: Integrating performance, cost and environment;Yu;Transp. Res. Part D: Transp. Environ.,2015
2. A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure;Koch;Adv. Eng. Inf.,2015
3. Eco-based pavement lifecycle maintenance scheduling optimization for equilibrated networks;Liu;Transp. Res. Part D: Transp. Environ.,2020
4. The most effective index for pavement management of urban major roads at a network level;Mubaraki;Arab. J. Sci. Eng.,2021
5. An innovative evaluation method for performance of in-service asphalt pavement with semi-rigid base;Jing;Constr. Build. Mater.,2020
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