Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review
Ran Tu, Junshi Xu

TL;DR
This review analyzes eco-driving guidance for human drivers, highlighting challenges in standardization, effectiveness, and acceptance, and emphasizes the need for adaptive, personalized systems to promote sustainable driving behaviors.
Contribution
It systematically reviews existing eco-driving guidance studies, identifies key challenges, and discusses future research directions for adaptive and user-acceptance-focused solutions.
Findings
Guidance design lacks standardization and consistency.
Factors influencing guidance effectiveness vary across studies.
Long-term motivation and user acceptance are underexplored.
Abstract
Ecodriving guidance includes courses or suggestions for human drivers to improve driving behaviour, reducing energy use and emissions. This paper presents a systematic review of existing eco-driving guidance studies and identifies challenges to tackle in the future. A standard agreement on the guidance design has not been reached, leading to difficulties in designing and implementing eco-driving guidance for human drivers. Both static and dynamic guidance systems have a great variety of guidance results. In addition, the influencing factors, such as the suggestion content, the displaying methods, and drivers socio-demographic characteristics, have opposite effects on the guidance result across studies, while the reason has not been revealed. Drivers motivation to practice eco behaviour, especially long-term, is overlooked. Besides, the relationship between users acceptance and system…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVehicle emissions and performance · Energy, Environment, and Transportation Policies · Electric Vehicles and Infrastructure
