Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013, Revised Selected Papers

Research Article

How’s My Driving? A Spatio-Semantic Analysis of Driving Behavior with Smartphone Sensors

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  • @INPROCEEDINGS{10.1007/978-3-319-11569-6_51,
        author={Dipyaman Banerjee and Nilanjan Banerjee and Dipanjan Chakraborty and Aakash Iyer and Sumit Mittal},
        title={How’s My Driving? A Spatio-Semantic Analysis of Driving Behavior with Smartphone Sensors},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 10th International Conference, MOBIQUITOUS 2013, Tokyo, Japan, December 2-4, 2013,  Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2014},
        month={12},
        keywords={Smartphone Driving behavior Analytics},
        doi={10.1007/978-3-319-11569-6_51}
    }
    
  • Dipyaman Banerjee
    Nilanjan Banerjee
    Dipanjan Chakraborty
    Aakash Iyer
    Sumit Mittal
    Year: 2014
    How’s My Driving? A Spatio-Semantic Analysis of Driving Behavior with Smartphone Sensors
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-319-11569-6_51
Dipyaman Banerjee1,*, Nilanjan Banerjee1,*, Dipanjan Chakraborty1,*, Aakash Iyer1,*, Sumit Mittal1,*
  • 1: IBM Research - India
*Contact email: dipyaban@in.ibm.com, nilanjba@in.ibm.com, cdipanjan@in.ibm.com, aakiyer1@in.ibm.com, sumittal@in.ibm.com

Abstract

Road accident is one of the major reasons for loss of human lives, especially in developing nations with poor road infrastructure and a driver needs to constantly negotiate with several adverse conditions to ensure safety. In this paper, we study several such adverse conditions that are relevant to safe driving and propose a novel method for identifying them as well as characterizing driving behavior for such conditions. Experimental results reveal that our proposed methodology is promising and more flexible than prior work in this area. In particular, our prediction results reveal that our methodology is an aggressive one where most of the bad driving behaviors are determined at the cost of a few instances of good behavior being falsely characterized as bad ones.