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This page is about the applications of machine learning (ML) in the context of optimizing public transport. For an overview of public transport more generally, please see the Wikipedia page on this topic.
So that many commuters use public transportation services, more energy-efficient that private vehicles, this services must propose time-efficient and reliable options. ML can be used in various ways, for example by predicting bus arrival time and their uncertainty.