NDLI: An effective variable selection algorithm for Aggressive/Calm Driving detection via CAN bus

Content Provider	IEEE Xplore Digital Library
Author	Karaduman, O. Eren, H. Kurum, H. Celenk, M.
Copyright Year	2013
Description	Author affiliation: Sch. of Avionics & Intell. Vehicle Sci., Firat Univ., Elazig, Turkey (Eren, H.) \|\| Dept. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA (Celenk, M.) \|\| Dept. of Electr. & Electron. Eng., Firat Univ., Elazig, Turkey (Karaduman, O.; Kurum, H.)
Abstract	In this research, the aim is to come up with an algorithm determining most appropriate variables of CAN (Controller Area Network) bus data for Aggressive/Calm Driving detection problem. This study assists drivers to take attention their Aggressive/Calm Driving habits on steering wheel. System complexity increases as involving all the variables in the problem. Therefore we can get cost efficiency by eliminating variables. With this aim, the proposed algorithm is applied to find optimal variables before identifying driving mood. As an initial phase, we have realized several test-drives having employed drivers with different driving styles being aggressive and calm in order for collecting data needed. Afterwards the novel algorithm developed is applied to eliminate trivial variables. Proposed method is based on exploiting similar correlation characteristics related to variables appearing in both Aggressive and Calm driving. As applying the selection algorithm, similar relation clusters are obtained with the aim of searching for redundant variables that will be eliminated. In this manner we reach a favorable set belonging to optimal variables. This novel algorithm can be easily applied for the systems including binary data set.
Sponsorship	IEEE USA Washington, DC
Starting Page	586
Ending Page	591
File Size	1939554
Page Count	6
File Format	PDF
ISBN	9781479924912
DOI	10.1109/ICCVE.2013.6799859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation coefficient Algorithm design and analysis Feature selection Correlation Educational institutions Fuels Vehicles Driving profile Clustering algorithms CAN Bus Sensors Driver behavior Aggressive driving Variable selection
Content Type	Text
Resource Type	Article

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