Adjusting the need for speed: assessment of a visual interface to reduce fuel use

Abstract

Previous research has identified that fuel consumption and emissions can be considerably reduced if drivers engage in eco-driving behaviours. However, the literature suggests that individuals struggle to maintain eco-driving behaviours without support. This paper evaluates an in-vehicle visual interface system designed to support eco-driving through recommendations based on both feedforward and feedback information. A simulator study explored participants’ fuel usage, driving style, and cognitive workload driving normally, when eco-driving without assistance and when using a visual interface. Improvements in fuel-efficiency were observed for both assisted (8.5%) and unassisted eco-driving (11%), however unassisted eco-driving also induced a significantly greater rating of self-reported effort. In contrast, using the visual interface did not induce the same increase of reported effort compared to everyday driving, but itself did not differ from unassisted driving. Results hold positive implications for the use of feedforward in-vehicle interfaces to improve fuel efficiency. Accordingly, directions are suggested for future research.

Practitioner Summary: Results from a simulator study comparing fuel usage from normal driving, engaging in unassisted eco-driving, or using a novel speed advisory interface, designed to reduce fuel use, are presented. Whilst both unassisted and assisted eco-driving reduced fuel use, assisted eco-driving did not induce workload changes, unlike unassisted eco-driving.

Abbreviations: CO­2: carbon dioxide; NASA-TLX: NASA task load index; RMS: root-mean-square; MD: mean difference

Keywords:

• Fuel use
• fuel efficient driving
• in-vehicle interface use
• eco-driving

Acknowledgements

The authors would like to thank all the participants who gave their time to participate in the study presented within the current work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was funded by the UK Engineering and Physical Sciences Research Council (EPSRC) [EP/N022262/1] ‘Green Adaptive Control for Future Interconnected Vehicles’ (www.g-active.uk).