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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 313-316
Wonang Jang , Dept. of Electronic Computer Science, Pusan National University, Korea
Daeseong Jong , Dept. of Electronic Computer Science, Pusan National University, Korea
Dohoon Lee , Dept. of Electronic Computer Science, Pusan National University, Korea
ABSTRACT
Modern vehicles can determine the fuel consumption pattern and driving habits of the driver using data collected by an in-vehicle computer. The driver can visualize and analyze this data on an in-vehicle information system, providing a one-way information stream. However, there has been limited development of a driving system that can bring about good driving habits based on data from particular road sections and the actual driving pattern of the driver. In this paper, we measure specific driving data and encode this in a chromosome for a genetic algorithm. This algorithm is then applied to optimize the average fuel efficiency and driving operations. Finally, we describe how to induce good driving habits, leading to an optimal operation pattern.
INDEX TERMS
Biological cells, Vehicles, Fuel economy, Roads, Sociology, Statistics, Genetic algorithms
CITATION

Wonang Jang, Daeseong Jong and Dohoon Lee, "Methodology to improve driving habits by optimizing the in-vehicle data extracted from OBDII using genetic algorithm," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 313-316.
doi:10.1109/BIGCOMP.2016.7425936
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