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 …

Decision-making in highway preventive maintenance (PM) is generally costly and
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …

Given many known and unknown uncertainties, it is hard to forecast reliably the mode
choices, expected to prevail with autonomous vehicle (AV) technology; however, the key to …

The milage of asphalt pavement growth explosively around the world in the past decades
resulted in a tremendous maintenance workload. Preventive maintenance (PM) is an …

The rapid expansion of expressway mileage has resulted in a significant maintenance
workload. Accurately predicting pavement performance is an effective approach to cost …

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

This study explored the outcomes of utilizing genetic algorithms and artificial neural
networks to assess the pavement quality index on the principal road by analyzing 500 …

Abstract International Roughness Index (IRI) is an important pavement performance
indicator that is widely used to reflect existing pavement condition and ride quality. Due to …

With the continuous advancement in data-acquisition devices, computer vision techniques,
and machine-learning (ML) algorithms over the past decades, artificial intelligence (AI) …

Distracted driving leads to performance changes in both longitudinal and lateral control.
However, driving performance, being a multidimensional phenomenon, is very difficult to be …