Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle Speeds

Driving style and external factors such as traffic density have a significant influence on the vehicle energy demand especially in city driving. A longitudinal control approach for intelligent, connected vehicles in urban areas is proposed in this article to improve the efficiency of automated drivi...

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Bibliographic Details

Published in:	Vehicles
Main Authors:	Tobias Eichenlaub, Paul Heckelmann, Stephan Rinderknecht
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	longitudinal control supervised learning speed predictions V2X realistic microscopic traffic simulation urban traffic
Online Access:	https://www.mdpi.com/2624-8921/5/1/1