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Driver Behavior Profiling using Smartphones
Castignani, German; Frank, Raphaël; Engel, Thomas
2013In Driver Behavior Profiling using Smartphones
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Keywords :
Mobile Sensing; Driver Profiling; Fuzzy Systems
Abstract :
[en] The proliferation of smartphones and mobile devices embedding different types of sensors sets up a prodigious and distributed sensing platform. In particular, in the last years there has been an increasing necessity to monitor drivers to identify bad driving habits in order to optimize fuel consumption, to reduce CO2 emissions or, indeed, to design new reliable and fair pricing schemes for the insurance market. In this paper, we analyze the driver sensing capacity of smartphones. We propose a mobile tool that makes use of the most common sensors embedded in current smartphones and implement a Fuzzy Inference System that scores the overall driving behavior by combining different fuzzy sensing data.
Disciplines :
Computer science
Author, co-author :
Castignani, German ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Frank, Raphaël ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Engel, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
Driver Behavior Profiling using Smartphones
Publication date :
October 2013
Event name :
16th International IEEE Conference on Intelligent Transportation Systems
Event organizer :
IEEE
Event place :
The Hague, Netherlands
Event date :
06-10-2013 to 09-10-2013
Audience :
International
Main work title :
Driver Behavior Profiling using Smartphones
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 06 November 2013

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