University of Oulu

E. Gilman, G. V. Georgiev, P. Tikka, S. Pirttikangas and J. Riekki, "How to support fuel-efficient driving?," in IET Intelligent Transport Systems, vol. 12, no. 7, pp. 631-641, 9 2018. doi: 10.1049/iet-its.2016.0280

How to support fuel-efficient driving?

Saved in:
Author: Gilman, Ekaterina1; Georgiev, Georgi V.1; Tikka, Piiastiina2;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Finland
2Oulu Advanced Research on Service and Information Systems, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link:
Language: English
Published: Institution of Engineering and Technology, 2018
Publish Date: 2019-03-26


Energy efficient personal transportation requires fuel-efficient and route aware driving. Driving coaching systems can provide to drivers all the information and guidance that is needed to learn these skills. However, persuading drivers to change their driving behaviour is a challenging task. The authors identify functional, design, safety, and persuasive features for systems supporting fuel-efficiency. Moreover, they analyse how these features are supported by state-of-the-art systems targeting reduced fuel consumption. Finally, based on their analysis, they discuss open issues and opportunities for future development of fuel-efficiency support systems. The literature and the reviewed research in this study illustrate the needs for overall situation assessment and benefits of careful and multifaceted approach for systems design when it comes to eco-driving: an effective system will make use of a versatile design toolkit in order to obtain enduring behavioural results.

see all

Series: IET intelligent transport systems
ISSN: 1751-956X
ISSN-E: 1751-9578
ISSN-L: 1751-956X
Volume: 12
Issue: 7
DOI: 10.1049/iet-its.2016.0280
Type of Publication: A2 Review article in a scientific journal
Field of Science: 113 Computer and information sciences
Funding: This article extends the one presented in ITS European Congress 2016 [65] and the work was supported by Tekes as part of the Data to Intelligence Program of DIGILE (Finnish Strategic Centre for Science, Technology and Innovation in the field of ICT and digital business).
Copyright information: © The Institution of Engineering and Technology 2018. Published in this repository with the kind permission of the publisher.