A machine learning approach to understand the impact of temperature and rainfall change on concrete pavement performance based on ltpp data

HIGHLIGHTS

• What: The aim of this project is to find out how changes in temperature and affect how responds and how well it performs in the future using the model and to create a logistic regression model to look at the forecast The main reason to choose temperature and precipitation is to identify the road damage due to temperature and precipitation. Among 468 data set, 374 data have been used to train the model and 94 set of data was used to test the model.
• Who: mhard from the (UNIVERSITY) have published the article: SVU-International . . .
  

   

  

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