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=== Improving vehicle efficiency ===
 
=== Improving vehicle efficiency ===
   
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* '''[[Designing efficient vehicles]]:'''
* '''[[Designing efficient vehicles]]:''' 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.
 
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* '''[[Improving vehicle efficiency]]:'''
* '''[[Improving driving efficiency]]:''' Margin emission reduction can be achieved by a more efficient driving, which includes a better speed management or routing decisions. ML has been extensively applied to autonomous driving, and some applications enable energy gains.
 
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*'''[[Optimizing public transportation services]]:'''
*'''[[Optimizing public transportation services]]:''' 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.
 
   
 
=== Alternative fuels and electrification ===
 
=== Alternative fuels and electrification ===
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