Random forests

Investigating Impacts of Asphalt Mixture Properties on Pavement Performance Using LTPP Data through Random Forests

Numerous laboratory studies have demonstrated that the properties of hot-mix asphalt (HMA) play a crucial role in the performance of the HMA. However, few studies have directly correlated HMA properties to field pavement performance. The present …

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 …