A supervised learning approach to estimate the drivers impact on fuel consumption : A heavy-duty vehicle case study
The aim of this Master thesis is to provide a statistical analysis of the factors inuencing the fuel consumption, with a focus on the separation of the drivers' performance. The study is focused on the long haulage trucks, which correspond to the application where the fuel consumption becomes o...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Fordonsdynamik
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198527 |