Optimizing public transportation services

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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.

Background Readings[edit | edit source]

Conferences, Journals, and Professional Organizations[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

Relevant Groups and Organizations[edit | edit source]

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