Enabling low-carbon shared mobility

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This page is about the applications of machine learning (ML) in the context of enabling low-carbon shared mobility. For an overview of shared transport more generally, please see the Wikipedia page on this topic.

For shared mobility to be a low-carbon option, it needs to effectively enable to reduce the number of kilometers travelled by pooling users. ML can help real-time decision for example for ride-hailing services.

Background Readings[edit | edit source]

Community[edit | edit source]

Libraries and Tools[edit | edit source]

Data[edit | edit source]

Future Directions[edit | edit source]

References[edit | edit source]