Machine learning

Improving Accuracy of Rutting Prediction for Mechanistic-Empirical Pavement Design Guide with Deep Neural Networks

Rutting in asphalt pavement is a critical design criterion in the Mechanistic-Empirical Pavement Design Guide (MEPDG). However, many studies have shown that the rutting transfer function in the MEPDG fails to produce reliable predictions in that it …

Use of Random Forests Regression for Predicting IRI of Asphalt Pavements

Random forest is a powerful machine learning algorithm with demonstrated success. In this study, the authors developed a random forests regression (RFR) model to estimate the international roughness index (IRI) of flexible pavements from distress …