Implementation and Analytics of the Distributed Eco-Driving Simulation iCO<sub>2</sub>

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 i...

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Bibliographic Details
Main Authors: Bernd Hollerit, Helmut Prendinger, Raghvendra Jain, Daniela Fontes, Henrique Campos, Hugo Damas, Anjie Fang, Rui Prada, Marc Cavazza
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9363876/
Description
Summary: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.
ISSN:2169-3536