Development of a Railhead Friction Estimation Tool applying Field Measurements and Machine Learning

This research endeavoured to advance the understanding of wheel/rail interface adhesion and subsequently improve adhesion estimation and validation approaches in railway operations. The study comprises of an extensive literature review that established research gaps in wheel/rail adhesion studies, real-world railhead data analysis, and the development of a Neural Network model...