IFSTTAR-COSYS-LIVIC

CARRS-Q

Immersive driving simulation architecture to support gamified

eco-driving instructions

David Geoffroy

Dominique Gruyer

Olivier OrfilaSébastien Glaser

Andry Rakotonirainy

Atiyeh Vaezipour

Sébastien Demmel

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.

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

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

A few energy reach the

wheel and we are still

spoiling it!

Ecodriving =

cooking leftovers

Ecodriving definition proposal

Ecodriving definition proposal– Ecodriving is a set of driving technics, dealing with all driving

tasks, aiming at minimizing the energy losses and/or emissionsrate of the driven vehicle, from an origin to a destination, withouttrading-off safety nor total travel time.

– Note: Ecodriving is a real time multi objective optimization process.

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!

proSiVIC research software

• Prototyping, test and

evaluation of connected and

active ADAS

• Driving and sensors

simulation

• Vehicle modeling

• ESI company

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

proSivic gamified extension: eco-

SivicGoal: Drivers are challenged to achieve goals. A drivingscenario in which the driver is asked to travel as far aspossible with 1.5 litres in the tank was implemented.

Feedback: Instantaneous fuel consumption and remainingfuel is displayed, score is given at the end of the trip

Rules: Eco-driving instructions to reduce fuel consumptionare given to participants. Road exit penalizes the driver andlimit his speed to 10 m / s.

Action: Action results from a choice where the driverdecides the most appropriate and effective manoeuvre toprogress towards the goal.

Choice: Participants make a series of choice related tolongitudinal and lateral movements.

Proposed gameSpeed

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?

Functional diagram of the eco-SiVIC platform

HMD and ecoSiVIC • HMD interconnected to proSiVIC

• Development of a dedicated .dll with Oculus Rift SDK

• Intregration of feedbacks in Oculus views

Eco-Sivic driving simulator

French science festival, Cité des sciences

Paris

Paris Motor Show (2014)

Results: Speed profiles

• Drivers data from the Paris

Motor Show.

– Blue: All profiles

– Red: Optimal profiles (Pareto

definition)

– Green: Best profile

(considering the scenario)

Results: Fuel use

• Drivers data from the Paris

Motor Show.

– Blue: All profiles

– Red: Optimal profiles

(Pareto definition)

– Green: Best profile

(considering the scenario)

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.

Thanks for your attention

Dr Olivier OrfilaIfsttar

25 allée des Marronniers

78000 VERSAILLES

France

www.ifsttar.fr

olivier.orfila@ifsttar.fr