Ecodriving performances of human drivers in a virtual and realistic world

In this study, results of an ecodriving challenge that took place during the Paris Motor Show in 2014 are presented. The principle of this challenge was to drive a simulated passenger car as far as possible with a limited quantity of energy (15 cL). The experimental setup, constituted of the SiVIC software, an Oculus Rift Helmet and a fuel consumption model, is also detailed. 1211 trips of visitors were validated during the 17 days of the event. Results showed that high acceleration without kickdown is desirable and that constant speed can lead to significant reduction in energy consumption. Next work will concentrate on improving the simulation and the scenario to increase the immersion realism and the ecodriving behavior sensitivity.

[1]  R Akcelik FORMULAE FOR PREDICTING FUEL CONSUMPTION OF CARS , 1983 .

[2]  Maria Zarkadoula,et al.  Training urban bus drivers to promote smart driving: A note on a Greek eco-driving pilot program , 2007 .

[3]  Yu Zhou,et al.  Modelling of the fuel consumption for passenger cars regarding driving characteristics , 2008 .

[4]  Evangelos G. Giakoumis,et al.  Diesel-engined vehicle nitric oxide and soot emissions during the European light-duty driving cycle using a transient mapping approach , 2010 .

[5]  Steven Broekx,et al.  Using on-board logging devices to study the longer-term impact of an eco-driving course , 2009 .

[6]  Owen Eriksson Intelligent Transport Systems and Services (ITS) , 2002 .

[7]  Cristina Olaverri-Monreal,et al.  How Electric Vehicles Affect Driving Behavioral Patterns , 2014, IEEE Intelligent Transportation Systems Magazine.

[8]  Akhilesh Kumar Maurya,et al.  STUDY OF EFFECT OF SPEED, ACCELERATION AND DECELERATION OF SMALL PETROL CAR ON ITS TAIL PIPE EMISSION , 2013 .

[9]  Kanok Boriboonsomsin,et al.  Energy and emissions impacts of a freeway-based dynamic eco-driving system , 2009 .

[10]  Junichi Murata,et al.  On board eco-driving system for varying road-traffic environments using model predictive control , 2010, 2010 IEEE International Conference on Control Applications.

[11]  Anders af Wåhlberg,et al.  Long-term effects of training in economical driving: Fuel consumption, accidents, driver acceleration behavior and technical feedback , 2007 .

[12]  Husnain Malik,et al.  Effects of Eco-driving Instructions Using a Vehicle with Automatic Transmission on Urban Roads , 2012 .

[13]  Yadollah Saboohi,et al.  Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption , 2009 .

[14]  S. Mammar,et al.  Modeling of dynamic vehicle-road interactions for safety-related road evaluation. , 2010, Accident; analysis and prevention.

[15]  J. Barkenbus Eco-driving: An overlooked climate change initiative , 2010 .