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Incorporating driver preferences Into eco-driving assistance systems using optimal control

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journal contribution
posted on 08.07.2020, 14:29 by James FlemingJames Fleming, Xingda Yan, Roberto Lot
Recently there have been several proposals for ‘ecodriving 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%


Green adaptive control for future interconnected vehicles

Engineering and Physical Sciences Research Council

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  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Intelligent Transportation Systems


1 - 10


Institute of Electrical and Electronics Engineers (IEEE)


AM (Accepted Manuscript)

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Dr James Fleming Deposit date: 8 July 2020