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 …

Making a proper maintenance plan for the pavement health is the key to maintain a good
service level and bearing capacity. To cope with the increasing demand for pavement …

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 …

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

The routine maintenance and rehabilitation of road pavement is vital to keep up with the
service level and bearing capacity. However, the current problem is that, with the continuous …

Transportation agencies are primarily responsible for building new roads and maintaining
current roads. The main focuses of these agencies are to prioritize maintenance and make …

In gravel roads management systems (GRMS), the need for a holistic approach for detecting
the dust amounts on gravel roads has enabled the development of a solution that works …

Pavement maintenance prioritization considering both quality and cost is an important
decision-making problem. In this paper, the actual pavement condition index of city roads …

Multi-criteria decision analysis (MCDA) methods are vital in assessing decision variants
under multiple conditions. However, involving domain experts in developing decision …

Driven by the demand to preserve the existing road pavement condition, the issue of
selecting maintenance action at the appropriate time under budget limitation has attracted …