Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling-Reference-Cited by-同舟云学术

Using Machine Learning to Examine Impact of Type of Performance Indicator on Flexible Pavement Deterioration Modeling

Published:2021-06 Issue:2 Volume:27 Page:04021005
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Madeh Piryonesi S.¹^ORCID,El-Diraby Tamer E.²^ORCID

Affiliation:

1. Instructor, Dept. of Civil and Mineral Engineering, Univ. of Toronto, 35 St. George St., Toronto, ON, Canada M5S 1A4 (corresponding author). ORCID: .

2. Professor, Dept. of Civil and Mineral Engineering, Univ. of Toronto, 35 St. George St., Toronto, ON, Canada M5S 1A4. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000602

Reference67 articles.

1. Optimal Maintenance and Rehabilitation Policies for Performance-Based Road Maintenance Contracts

2. Exploratory State-Level Empirical Assessment of Pavement Performance

3. Analysis of Pavement Overlay and Replacement Performance Using Random Parameters Hazard-Based Duration Models

4. Random Parameters Seemingly Unrelated Equations Approach to the Postrehabilitation Performance of Pavements

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