Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)

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Research on Cause Discrimination Method of Pavement Diseases Based on Machine Learning

Authors
Huoming Wang1, Zhoucong Xu1, You Zhou1, *
1China Merchants Chongqing Communications Technology Research and Design Institute Co., Ltd. & National-Local Joint Engineering Laboratory for Road Engineering and Disaster Prevention and Mitigation Technology in Mountainous Areas, Chongqing, 400067, China
*Corresponding author. Email: 81289587@qq.com
Corresponding Author
You Zhou
Available Online 13 June 2025.
DOI
10.2991/978-94-6463-726-7_21How to use a DOI?
Keywords
Pavement diseases; correlation analysis; cause discrimination; machine learning
Abstract

In this paper, to develop an automatic discrimination method for the causes of pavement diseases, the Chongqing Inner Ring Expressway is used as an engineering case to analyze the typical characteristics of asphalt pavement diseases in different road sections. The feasibility of data dimensionality reduction analysis is determined based on the correlation characteristics of different types of damages, and the principal component analysis (PCA) method is employed to process the dimensionality reduction of pavement information data. The random forest algorithm is then used to realize the automatic cause analysis of pavement diseases. The results indicate that the cause conclusions obtained by machine learning model training are basically consistent with the actual field investigation conclusion, suggesting that the machine learning-based intelligent discrimination method has a certain level of reliability in analyzing pavement disease causes.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
Series
Atlantis Highlights in Engineering
Publication Date
13 June 2025
ISBN
978-94-6463-726-7
ISSN
2589-4943
DOI
10.2991/978-94-6463-726-7_21How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Huoming Wang
AU  - Zhoucong Xu
AU  - You Zhou
PY  - 2025
DA  - 2025/06/13
TI  - Research on Cause Discrimination Method of Pavement Diseases Based on Machine Learning
BT  - Proceedings of the 2024 6th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2024)
PB  - Atlantis Press
SP  - 204
EP  - 212
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-726-7_21
DO  - 10.2991/978-94-6463-726-7_21
ID  - Wang2025
ER  -