iCO2 - Promoting Eco-Driving Practice through Multiuser Challenge Optimization

Eco-driving is a driving style that can significantly reduce fuel consumption and CO2 emission. Current methods for eco-driving practice are inefficient or not easily accessible. Therefore, we introduce iCO2, an online multi-user three-dimensional (3D) ecodriving training space, which was developed in Unity3D and made available as a Facebook application since September 2012. In iCO2, agents are trained to act as “opponents” that create ecochallenges for users, i. e. situations that make eco-driving difficult. The (eco-)challenge is optimized for all users using distributed constraint optimization. iCO2 is the first application to address the problem of multiuser real-time challenge balancing. Visitors of our demo will be able to join the simulation via Facebook (web client) or iPad (iOS client), and compete for the best eco-score in a shared 3D virtual environment depicting a part of Tokyo.

Authors

• Marconi Madruga National Institute of Informatics, Japan
• Helmut Prendinger National Institute of Informatics

Keywords

• Distributed constraint optimization
• coordination
• real-time challenge balancing
• social interaction