Abstract
Eco-driving style is widely known to induce up to 20% fuel consumption reduction, but little is known about differences due to different learning methods. In order to evaluate the potential impacts of future ecological driving assistance system (EDAS) in comparison with usual techniques, a statistical approach is proposed. Two kinds of experiments are analysed in this paper: In the first one, simple advice were given to the participants, while in the second one, full courses with eco-driving experts were used. Performance indicators were derived from five commonly referred golden rules of eco-driving and used as model inputs. Different kind of statistical models are discussed, among which we choose to apply the ordinary logistic regression to assess the effects of each driving advice separately Results show that ecodriving advices are better applied after a course than just providing tips. The approach is then extended to build a generic model that can be used both to characterize and evaluate eco-driving style.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: European Journal of Transport and Infrastructure Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
