Classification of pavement climatic regions through unsupervised and supervised machine learnings
In this study, several supervised and unsupervised machine learning programs were used to analyze climatic variables logged in the Long-term Pavement Performance program database. Results were used in accurately categorizing climatic regions with multiple variables, useful for predicting climatic effects on the lifecycle performance of pavement infrastructures across different regions. The successful results of this study strengthen the case for using predictive climate analysis, as well as utilizing machine learning programs, for infrastructure preservation and resilience purposes.
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An Interview with the Editor
"JIPR aims to become the flagship journal in the field of infrastructure preservation and resilience (IPR), providing a cross-disciplinary forum for researchers to disseminate innovative research and engineering practices that preserve the integrity, performance, and resilience of infrastructure systems."
- Xianming Shi, Washington State University, USA
Read the full interview here, where Editor Shi goes into detail regarding his educational and professional background, the inspiration and reasoning to launch this cross-disciplinary scholarly discussion platform, and the long term goals for the journal.
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