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