Methodology to improve driving habits by optimizing the in-vehicle data extracted from OBDII using genetic algorithm

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.