A data-driven prioritisation framework to mitigate maintenance impact on passengers during metro line operation
Alice Consilvio,
Giulia Vignola,
Paula López Arévalo
et al.
Abstract:The application of artificial intelligence (AI) techniques may lead to significant improvements in different aspects of rail sector. Considering asset management and maintenance, AI can improve data analysis and asset status forecasting and decision-making processes, fostering predictive and prescriptive maintenance strategies. A prescriptive approach should be able to predict future scenarios as well as to suggest a course of actions. Nevertheless, the decision-making in rail asset management is often based o… Show more
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