LTPP

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 …

Field Performance Evaluation of Asphalt Mixtures Containing High Percentage of RAP Using LTPP Data

Recycled asphalt pavement (RAP) has been used in production of new mixtures for many decades and has become a common practice in highway agencies. However, concerns about field performance of RAP mixtures have been lingering on since the beginning of …