Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A Review Article Swipe
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 effectiveness is still unclear. Adaptive driving suggestions based on drivers habits can improve the effectiveness, while this field is under investigation.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- http://arxiv.org/abs/2203.15787
- https://arxiv.org/pdf/2203.15787
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297783354
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297783354Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2203.15787Digital Object Identifier
- Title
-
Effective and Acceptable Eco-Driving Guidance for Human-Driving Vehicles: A ReviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-28Full publication date if available
- Authors
-
Ran Tu, Junshi XuList of authors in order
- Landing page
-
https://arxiv.org/abs/2203.15787Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2203.15787Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2203.15787Direct OA link when available
- Concepts
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Variety (cybernetics), Guidance system, Risk analysis (engineering), Field (mathematics), Computer science, Transport engineering, Engineering, Business, Artificial intelligence, Pure mathematics, Mathematics, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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