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Eco-Driving with Electric Cars: Effect of Continuous and On-Demand feedback on Driving Behavior and Safety

Communication avec acte
Auteur
BELOUFA, Sabrina
133641 Technocentre Renault [Guyancourt]
227 Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] [LEAD]
VAILLEAU, Benjamin
133641 Technocentre Renault [Guyancourt]
BOUCHEIX, Jean-Michel
227 Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] [LEAD]
KEMENY, Andras
121997 Centre Technique de Simulation
133641 Technocentre Renault [Guyancourt]
ccMERIENNE, Frédéric
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]

URI
http://hdl.handle.net/10985/10002
Date
2014

Résumé

Analysis of driver behavior has been the purpose of many studies for several years. A new aspect is the introduction of electric vehicles on the car market and the fact drivers are more concerned with their consumptions in EV (Electric Vehicle) due to the lack of the appropriate infrastructures. However, only a few studies focusing on ecological behavior and consumption have been carried out. The primary goal of the present study was to assess empirically the impact of feedback on EV driving behavior involving autonomy management performance. We hypothesized that we could help the driver to manage his autonomy more efficiently if we’d give him feedback on his driving behavior and battery consumption. Our second hypothesis is that participants would allocate more attention on feedback information when they reach a critical battery autonomy situation, so the subjects had to drive a course with 100% and 15% autonomy left. Preliminary results indicate better driver performances and enhanced safety with econometer gauge feedback, probably due to the increased driver control and better applied driver attention.

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  • Apprendre le règles d'éco-conduite sur simulateur de voiture: Effet de guidages attentionnels, visuel et auditifs 
    Communication avec acte
    BOUCHEIX, Jean-Michel; BELOUFA, Sabrina; CAUCHARD, Fabrice; ARGON, Stéphane; VAILLEAU, Benjamin; VEDRENNE, Joël; KEMENY, Andras; ccMERIENNE, Frédéric (INRS, 2013)
    Dans le cadre le cadre du projet GeDriver, cette étude a testé expérimentalement l’efficacité de guidages attentionnels externes, associés à une leçon multimédia préalable, sur l’apprentissage de règles d’éco-conduite. ...
  • Enhanced game mode for Eco-driving simulator 
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    BELOUFA, Sabrina; CAUCHARD, Fabrice; VEDRENNE, Joël; BOUCHEIX, Jean-Michel; KEMENY, Andras; VAILLEAU, Benjamin; ccMERIENNE, Frédéric (2012)
    The use of driving simulators is part of RENAULT’s approach for eco-driving development. The geDRIVER project objectives were to: develop ECO mode for all, taking into account eco-driving criteria; develop a training ...
  • Learning eco-driving behaviour in a driving simulator: Contribution of instructional videos and interactive guidance system 
    Article dans une revue avec comité de lecture
    BELOUFA, Sabrina; CAUCHARD, Fabrice; VEDRENNE, Joël; VAILLEAU, Benjamin; KEMENY, Andras; BOUCHEIX, Jean-Michel; ccMERIENNE, Frédéric (Elsevier, 2017)
    The present paper deals with how to design and test an eco-driving training tool in the form of a digital educational game, including a specific guidance system interface to each eco-driving rules. We tested whether learners ...
  • The Effects of the Use of Serious Game in Eco-Driving Training 
    Article dans une revue avec comité de lecture
    HRIMECH, Hamid; BELOUFA, Sabrina; BOUCHEIX, Jean-Michel; CAUCHARD, Fabrice; VEDRENNE, Joël; KEMENY, Andras; ccMERIENNE, Frédéric (Frontiers Media S.A, 2016)
    Serious games present a promising approach to training and learning. The player is engaged in a virtual environment for a purpose beyond pure entertainment, all while having fun. In this paper, we investigate the effects ...
  • Dealing with the right of way in advanced traffic simulation. A characterization of drivers’ behaviours in a multi-agent approach 
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    REFFET, Bérénice; MATHIEU, Philippe; KEMENY, Andras; VAILLEAU, Benjamin; NONGAILLARD, Antoine; MOHELLEBI, Hakim (2017)
    With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic ...

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