Classification of pavement climatic regions through unsupervised and supervised machine learnings

Classification of pavement climatic regions through unsupervised and supervised machine learnings

Abstract This study extracted 16 climatic data variables including annual temperature, freeze thaw, precipitation, and snowfall conditions from the Long-term Pavement Performance (LTPP) program database to evaluate the climatic regionalization for pavement infrastructure. The effect and significance...

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Bibliographic Details
Main Authors: Qiao Dong, Xueqin Chen, Shi Dong, Jun Zhang
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Journal of Infrastructure Preservation and Resilience
Subjects:
Climatic regions
Climate change
Machine learning
Principle component analysis (PCA)
Factor analysis
K-means cluster analysis
Online Access:https://doi.org/10.1186/s43065-021-00020-7

Internet

https://doi.org/10.1186/s43065-021-00020-7

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