Deterioration Prediction of Track Geometry Using Periodic Measurement Data and Incremental Support Vector Regression Model-Reference-Cited by-同舟云学术

Deterioration Prediction of Track Geometry Using Periodic Measurement Data and Incremental Support Vector Regression Model

Published:2020-01 Issue:1 Volume:146 Page:04019057
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Lee Jun S.¹^ORCID,Hwang Sung Ho²,Choi Il Yoon³,Choi Yeongtae²

Affiliation:

1. Research Fellow, Advanced Railroad Civil Engineering Div., Korea Railroad Research Institute, Euiwang Si, Kyunggi Do 16105, Republic of Korea (corresponding author). ORCID: .

2. Senior Researcher, Advanced Railroad Civil Engineering Div., Korea Railroad Research Institute, Euiwang Si, Kyunggi Do 16105, Republic of Korea.

3. Principal Researcher, Advanced Railroad Civil Engineering Div., Korea Railroad Research Institute, Euiwang Si, Kyunggi Do 16105, Republic of Korea.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000291

Reference29 articles.

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4. Characteristics of track irregularities on Kyoungbu high-speed line;Choi I.;J. Korean Soc. Railway,2015

5. Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis

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