Distributed constraint optimization with structured resource constraints
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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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) eco-driving 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 eco-challenges 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.