Today, Big Data, generated by connected vehicles, can improve road safety, lead the green transition, and direct the mobility revolution. For this reason, we develop an Androidapp, called DRIVES (DRIVEr Services), that allows drivers to get rewarded for their eco-driving style. In particular, DRIVES collects vehicle data from the OBD-II port, stores them in infrastructure of the European project E-Corridor, computes a driving style profile, called Driver DNA, and provides users customized services, based on the driving profiles. The offered services can span a wide range of possibilities from an energy bill discount to a personalized carsharing price, but, in any case, as a direct consequence of the rewarding process, our app can encourage safer and more sustainable mobility. In this work, we describe the app structure, its operations, and the E-Corridor architecture, where vehicle data are analyzed. Besides, we provide an insight into the possible privacy concerns caused by the usage of personal and vehicle data. The result is an Android app that has been tested in the project infrastructure with a real vehicle, and that can be used as a general schema to create other rewarding apps, also for autonomous vehicles, using driving data.

DRIVES: Android App for Automotive Customized Services

M De Vincenzi
2022

Abstract

Today, Big Data, generated by connected vehicles, can improve road safety, lead the green transition, and direct the mobility revolution. For this reason, we develop an Androidapp, called DRIVES (DRIVEr Services), that allows drivers to get rewarded for their eco-driving style. In particular, DRIVES collects vehicle data from the OBD-II port, stores them in infrastructure of the European project E-Corridor, computes a driving style profile, called Driver DNA, and provides users customized services, based on the driving profiles. The offered services can span a wide range of possibilities from an energy bill discount to a personalized carsharing price, but, in any case, as a direct consequence of the rewarding process, our app can encourage safer and more sustainable mobility. In this work, we describe the app structure, its operations, and the E-Corridor architecture, where vehicle data are analyzed. Besides, we provide an insight into the possible privacy concerns caused by the usage of personal and vehicle data. The result is an Android app that has been tested in the project infrastructure with a real vehicle, and that can be used as a general schema to create other rewarding apps, also for autonomous vehicles, using driving data.
2022
Istituto di informatica e telematica - IIT
9798350310085
Automotive
Android
Vehicle Services
Eco-driving
Privacy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/418214
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