Optimizing public transportation services: Difference between revisions
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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. |
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==Background Readings== |
==Background Readings== |