Characterizing the Driving Style Behavior using Artificial Intelligence Techniques
نویسندگان
چکیده
The On Board Diagnosis (OBD-II) standard allows accessing the vehicles’ Electronic Control Unit (ECU) easily through a Bluetooth OBD-II connector. This paper presents the DrivingStyles architecture, which adopts data mining techniques and neural networks to analyze and generate a classification of driving styles by analysing the characteristics of the driver along the route followed. The final goal is to assist drivers at correcting the bad habits in their driving behavior, while offering helpful tips to improve fuel economy. Since it is well known that smart driving can lead to a lower fuel consumption, the environmental impact is also reduced. A study involving more than 180 users is being carried out, where their real time traces (with different traffic conditions) is sent periodically to the platform. DrivingStyles is currently available on the Google Play Store platform for free download, and has achieved more than 2800 downloads from different countries in just a few months.
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