Abstract: Optimal mass transport (OMT) is an optimization problem that determines a method of moving mass or value from one function to another in the most efficiently and optimally. Using the ideas of OMT, this technical note aims ...

Abstract: A digital twin (DT) is a computational model (or set of coupled) that evolves over time to persistently represent the critical structure, its components, system, or process. Digital twin underpins intelligent automation ...

Abstract: This research investigates the application of explainable quantum machine learning (QML) for predictive maintenance in the railroad industry. By utilizing ground-penetrating radar (GPR) data to characterize subsurface track ...

Abstract: AbstractThe US railway system requires continuous monitoring to ensure safety and efficiency. Traditional track quality indices (TQI) often fail to detect variations in track geometry, missing critical irregularities that ...

Abstract: AbstractThis paper explores the use of topological data analysis (TDA) to improve railway track geometry, focusing on enhancing safety and maintenance. It uses methods such as Betti numbers, homology, and the Mapper algorithm ...

Abstract: The far-reaching consequences of train derailments have been a major concern to industry and government despite their relatively low occurrence. These consequences include injury, loss of life and property, interruption ...

Abstract: AbstractHighway-rail grade crossings, critical intersections where highways and railways meet, pose significant safety challenges, with approximately 2,000 incidents annually in the United States, according to the Federal ...