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An Evaluation Study of Driver Profiling Fuzzy Algorithms using Smartphones
Castignani, German; Frank, Raphaël; Engel, Thomas
2013In An Evaluation Study of Driver Profiling Fuzzy Algorithms using Smartphones
Peer reviewed
 

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Keywords :
Mobile Sensing; Driver Profiling; Fuzzy Systems
Abstract :
[en] Profiling driving behavior has become a relevant aspect in fleet management, automotive insurance and eco-driving. Detecting inefficient or aggressive drivers can help reducing fleet degradation, insurance policy cost and fuel consumption. In this paper, we present a Fuzzy-Logic based driver scoring mechanism that uses smartphone sensing data, including accelerometers and GPS. In order to evaluate the proposed mechanism, we have collected traces from a testbed consisting in 20 vehicles equipped with an Android sensing application we have developed to this end. The results show that the proposed sensing variables using smartphones can be merged to provide each driver with a single score.
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 :
An Evaluation Study of Driver Profiling Fuzzy Algorithms using Smartphones
Publication date :
October 2013
Event name :
2nd International Workshop on Vehicular Communications and Applications (VCA 2013)
Event date :
7-10-2013
Audience :
International
Main work title :
An Evaluation Study of Driver Profiling Fuzzy Algorithms using Smartphones
Pages :
6
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 06 November 2013

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