Dealing with disruptions in railway track inspection using risk-based machine learning
Abstract Unplanned track inspections can be a direct consequence of any disruption to the operation of on-board track geometry monitoring activities.A novel response strategy to enhance the value of the information for supplementary track measurements is thus established to construct a data generation model.In this model, artificial (synthetic) dat