Application of machine learning for fuel consumption modelling of trucks

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Application of machine learning for fuel consumption modelling of trucks

This paper presents the application of three Machine Learning techniques to fuel consumption modelling of articulated trucks for a large dataset. In particular, Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN) models have been developed for the purpose and their...

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Bibliographic Details
Main Authors:	Perrotta, Federico, Parry, Tony, Neves, Luís C.
Format:	Conference or Workshop Item
Published:	2017
Subjects:	fuel consumption machine learning neural networks random forests support vector machine truck fleet management
Online Access:	https://eprints.nottingham.ac.uk/48393/

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