Paper Info
Title
Incorporating Driver Preferences Into Eco-Driving Assistance Systems Using Optimal Control
Abstract
Recently there have been several proposals for `eco-driving assistance systems', designed to save fuel or electrical power by encouraging behaviours such as gentle acceleration and coasting to a stop. These systems use optimal control to find driving behaviour that minimises vehicle energy losses. In this paper, we introduce a methodology to account for driver preferences on acceleration, braking, following distances and cornering speed in such eco-driving optimal control problems. This consists of an optimal control model of acceleration and braking behaviour containing several physically-meaningful parameters to describe driver preferences. If used in combination with a model of fuel or energy consumption, this can provide an adjustable trade-off between satisfying those preferences and minimising energy losses. We demonstrate that the model gives comparable performance to existing car-following and cornering models when predicting drivers' speed in these situations by comparison with real-world driving data. Finally, we present an example highway braking scenario for an electric vehicle, illustrating a trade-off between satisfying driver preferences on vehicle speed and acceleration and reducing electrical energy usage by up to 43%.
Year
DOI
Venue
2021
10.1109/TITS.2020.2977882
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Energy efficiency,intelligent vehicles,optimal control,advanced driver assistance systems,automotive engineering
Journal
22
Issue
ISSN
Citations 
5
1524-9050
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Fleming, J.1123.22
Xingda Yan200.34
Roberto Lot300.68