Difference between revisions of "Enabling low-carbon shared mobility"

From Climate Change AI Wiki
Jump to navigation Jump to search
 
Line 1: Line 1:
 
{{Stub}}
 
{{Stub}}
  +
  +
''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 [https://en.wikipedia.org/wiki/Shared_transport 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.
 
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.

Latest revision as of 14:52, 26 August 2021

🌎 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.

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]