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Immersives driving simulation architecture to support gamified eco-driving instructiions: ITS World Congress 2016 Melbourne

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IFSTTAR-COSYS-LIVIC
CARRS-Q
Immersive driving simulation architecture to support gamified
eco-driving instructions
David G...

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General objectives
• We want to mitigate a wide range of transportation
issues (congestion, pollution, safety, etc)
• In o...

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Role of infrastructure,
vehicles and drivers
Drivers :
•Driving
•Use choice,
maintenance,
customer choices
Vehicle :
•Mass...

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Immersives driving simulation architecture to support gamified eco-driving instructiions: ITS World Congress 2016 Melbourne

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Eco-driving is about energy efficient use of vehicles. There are many approaches to improve eco-driving. Eco-driving driving style is hard to learn even with the help of driving assistance systems. This paper presents an immersive driving simulation training tool to support eco-driving training. We address the following questions: (1) How gamification concepts can improve eco-driving evaluation, training and adoption in simulated environments and (2) How to setup such elements in a 3D immersive driving simulator. We present an implementation of gamification concepts in a driving simulator architecture built upon pro-SiVIC software and a 3D Helmet Mounted Display. The gamification functions are then used to motivate drivers to be eco-friendly. We conclude with future work and open issues.

Eco-driving is about energy efficient use of vehicles. There are many approaches to improve eco-driving. Eco-driving driving style is hard to learn even with the help of driving assistance systems. This paper presents an immersive driving simulation training tool to support eco-driving training. We address the following questions: (1) How gamification concepts can improve eco-driving evaluation, training and adoption in simulated environments and (2) How to setup such elements in a 3D immersive driving simulator. We present an implementation of gamification concepts in a driving simulator architecture built upon pro-SiVIC software and a 3D Helmet Mounted Display. The gamification functions are then used to motivate drivers to be eco-friendly. We conclude with future work and open issues.

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Immersives driving simulation architecture to support gamified eco-driving instructiions: ITS World Congress 2016 Melbourne

  1. 1. IFSTTAR-COSYS-LIVIC CARRS-Q Immersive driving simulation architecture to support gamified eco-driving instructions David Geoffroy Dominique Gruyer Olivier Orfila Sébastien Glaser Andry Rakotonirainy Atiyeh Vaezipour Sébastien Demmel
  2. 2. General objectives • We want to mitigate a wide range of transportation issues (congestion, pollution, safety, etc) • In our case: Reduce the negative impact of road transport on health and environnement: – Reduce greenhouse gases emissions (GHG); – Reduce pollutants emissions; – Reduce energy use; • All of this without increasing travel time nor road insecurity.
  3. 3. Role of infrastructure, vehicles and drivers Drivers : •Driving •Use choice, maintenance, customer choices Vehicle : •Mass, aérodynamics •Engine •ADAS •Tires,… Infrastructure : •Geometry •Road texture •Urban planning •ITS
  4. 4. Objectives of the study • Use gamification concepts in the context of ecodriving • Develop an architecture to design and evaluate these concepts • Test this architecture over a wide audience
  5. 5. A few energy reach the wheel and we are still spoiling it! Ecodriving = cooking leftovers Ecodriving definition proposal
  6. 6. Ecodriving definition proposal – Ecodriving is a set of driving technics, dealing with all driving tasks, aiming at minimizing the energy losses and/or emissions rate of the driven vehicle, from an origin to a destination, without trading-off safety nor total travel time. – Note: Ecodriving is a real time multi objective optimization process.
  7. 7. Gamification • Definition: – Gamification is the “use of game design elements in non-game contexts” – Objective: engage users and motivate positive behaviour – Generally made with scoring systems (points, level) – In trip issue: Distraction!
  8. 8. proSiVIC research software • Prototyping, test and evaluation of connected and active ADAS • Driving and sensors simulation • Vehicle modeling • ESI company
  9. 9. Study methodology • Extend proSiVIC for ecodriving gamification • Test this platform in real conditions: – 17 days of testing in Paris Motor Show – 1900 participants – Ask them to drive as far as possible with 0.15L of fuel – Check results
  10. 10. proSivic gamified extension: eco- Sivic Goal: Drivers are challenged to achieve goals. A driving scenario in which the driver is asked to travel as far as possible with 1.5 litres in the tank was implemented. Feedback: Instantaneous fuel consumption and remaining fuel is displayed, score is given at the end of the trip Rules: Eco-driving instructions to reduce fuel consumption are given to participants. Road exit penalizes the driver and limit his speed to 10 m / s. Action: Action results from a choice where the driver decides the most appropriate and effective manoeuvre to progress towards the goal. Choice: Participants make a series of choice related to longitudinal and lateral movements.
  11. 11. Proposed game Speed Distance Let’s start the journey. I will be the best! Ok, I will choose this speed. Wow, half tank already! Oh, no, a curve, I need to decelerate. I go again to my prefered speed. Why my gas pedal not responding? No more fuel! The end. Am I the best?
  12. 12. Functional diagram of the eco-SiVIC platform
  13. 13. HMD and ecoSiVIC • HMD interconnected to proSiVIC • Development of a dedicated .dll with Oculus Rift SDK • Intregration of feedbacks in Oculus views
  14. 14. Eco-Sivic driving simulator French science festival, Cité des sciences Paris Paris Motor Show (2014)
  15. 15. Results: Speed profiles • Drivers data from the Paris Motor Show. – Blue: All profiles – Red: Optimal profiles (Pareto definition) – Green: Best profile (considering the scenario)
  16. 16. Results: Fuel use • Drivers data from the Paris Motor Show. – Blue: All profiles – Red: Optimal profiles (Pareto definition) – Green: Best profile (considering the scenario)
  17. 17. Conclusions • Gamification methodology and proof of concept to encourage drivers to change their driving habits. More than 1200 validated participants drove on a virtual road. • Include more adaptive driving scenarios that will automatically increase the difficulty level according to the participant performances. • Test the capabilities of proSiVIC to self-control a virtual vehicle in order to compute different acceleration profiles • Start the integration into ecoSiVIC of electric motors modelling.
  18. 18. Thanks for your attention Dr Olivier Orfila Ifsttar 25 allée des Marronniers 78000 VERSAILLES France www.ifsttar.fr olivier.orfila@ifsttar.fr

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