Difference between revisions of "Designing efficient vehicles"

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''This page is about the applications of machine learning (ML) in the context of efficient vehicles. For an overview of energy efficiency in transport more generally, please see the [https://en.wikipedia.org/wiki/Energy_efficiency_in_transport Wikipedia page] on this topic.''
   
 
Margin emission reduction can be achieved by designing more energy-efficient vehicles, for example by improving engines or brake systems. ML can help engine design, aerodynamic research or additive manufacturing.
 
Margin emission reduction can be achieved by designing more energy-efficient vehicles, for example by improving engines or brake systems. ML can help engine design, aerodynamic research or additive manufacturing.

Latest revision as of 14:57, 26 August 2021

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This page is about the applications of machine learning (ML) in the context of efficient vehicles. For an overview of energy efficiency in transport more generally, please see the Wikipedia page on this topic.

Margin emission reduction can be achieved by designing more energy-efficient vehicles, for example by improving engines or brake systems. ML can help engine design, aerodynamic research or additive manufacturing.

Background Readings[edit | edit source]

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

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Data[edit | edit source]

Future Directions[edit | edit source]

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