Pavement asset management system (PAMS) assists agencies and decision makers to
maintain deteriorating pavement assets with optimized budget allocation. The recent …

Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

Understanding the deterioration of roads is an important part of road asset management. In
this study, the long-term pavement performance (LTPP) data and machine learning …

This study explores the performance regime of different classification algorithms as they are
applied to the analysis of asphalt pavement deterioration data. The aim is to examine how …

Limited research has been conducted on the application of data analytics to the prediction of
the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing …

In recent years, there has been an increasing interest in the application of machine learning
for the prediction of pavement performance. Prediction models are used to predict the future …

Significant research efforts have documented the capabilities of machine learning (ML)
algorithms to model pavement performance. Several challenges, however, limit the …

Accurate pavement performance modelling is an essential requirement for cost-effective
pavement design and enhances pavement management decision making. Due to the …

Scientific asphalt mix design can improve the engineering properties of asphalt mixture, thus
further slowing the growth of international roughness index (IRI). To avoid the occurrence of …

Prediction models in mobility and transportation maintenance systems have been
dramatically improved by using machine learning methods. This paper proposes novel …