This paper presents the construction of an aggregated indicator of a fuel-efficient driving style, in order to construct an efficient Ecological Driving Assistance System (EDAS). Such an eco-index can be used to detect eco-driving behaviour, but also to give to the driver useful advices to help him improving his driving efficiency without deteriorating safety. The logistic regression is used to model our experimental dataset of twenty subjects driving twice the same route: normally or following the golden rules of eco-driving. Depending on some driving indicators, the estimated probability of being an eco-driver is used as an eco-index to characterize that driving pattern. This work show how such a simple aggregated indicator, related to driving dynamics rather than fuel consumption, can be useful for driver monitoring and information. Two models, from the simplest to the most complicated, are compared, and their performances analysed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using statistical models to characterize eco-driving style with an aggregated indicator


    Contributors:


    Publication date :

    2012-06-01


    Size :

    313865 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Statistical Models to Characterize Eco-Driving Style with an Aggregated Indicator

    Andrieu, C. / Saint Pierre, G. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2012


    Driving Style Clustering using Naturalistic Driving Data

    Chen, Kuan-Ting / Chen, Huei-Yen Winnie | Transportation Research Record | 2019




    Driving Style Identification Algorithm with Real-World Data Based on Statistical Approach

    Kim, Bill / Gao, Bo / Fuente, David et al. | SAE Technical Papers | 2016