Enabling low-carbon shared mobility
This is the approved revision of this page, as well as being the most recent.
🌎 This article is a stub, and is currently under construction. You can help by adding to it!
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.