Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

Ground penetrating radar (GPR) has been prevailingly applied in nondestructive testing of
internal distresses within asphalt pavement. However, the interpretation of abnormal echo …

Health and safety are relevant in transportation infrastructures. Most health evaluations are
performed by spot measurements using conventional transducers. This study aims to …

This study investigates the application of hazard maps in identifying critical locations
associated with extreme vehicle load events. Examining extreme vehicle loads can offer …

Urban sinkholes can cause subsidence damage to transportation infrastructures, building
demolitions and even casualties when they occur suddenly. It is hence essential to identify …

Over the last decade, the digital twin (DT) concept has effectively revolutionized
conventional bridge monitoring and management. Despite their overall success, current …

Automated infrastructure monitoring systems play a vital role in ensuring transportation
safety and have been studied extensively in the literature. Following the preferred reporting …

The regular and timely detection and segmentation of cracks in asphalt pavements is very
important for road evaluation. However, certain problems remain to be solved, such as the …

The diffractive component of the wavefield is often treated as noise during traditional
preprocessing workflows. However, it possesses valuable information for imaging faults …