Implementation and Analytics of the Distributed Eco-Driving Simulation iCO2

Bernd Hollerit, Helmut Prendinger, Raghvendra Jain, Daniela Fontes, Henrique Campos, Hugo Damas, Anjie Fang, Rui Prada, Marc Cavazza

Abstract: We describe iCO2, a simulation platform for collecting driving behavior data. It is designed as the first massively multiplayer online game for mobile devices to practice eco-friendly driving. It facilitates the collection of large-scale data on driving behavior to better understand compliance and incentive mechanisms for eco-driving and users' preferences. We present the results of a campaign with iCO2 that used a game promoter to attract 2455 users. The results are described from three angles: (1) types of drivers are identified by clustering driving behavior; (2) types of players are identified by relating players' interaction with game elements and their driving behavior; (3) by looking at longer sessions, we demonstrate that players who show eco-unfriendly behavior at the beginning of the session improve their eco-driving behavior throughout their playtime.