IDENTIFICATION OF DRIVING CHARACTERISTICS USING MARKOV PROCESS MODEL

Year 2020, Volume: 21 Issue: 2, 314 - 321, 15.06.2020

Tuba Nur Serttaş Ömer Nezih Gerek Fatih Onur Hocaoğlu

https://doi.org/10.18038/estubtda.584942

Abstract

Considering the role of drivers in
traffic, it is an important advantage to know the driver characteristics in
advance. Taking this characteristic into consideration, the driver can be
warned socially and economically. In this study, taking into account this
situation, driving characteristics are removed within certain drivers and the
drivers are divided into two classes as calm and aggressive. The data recorded
via the smartphone is used directly when classification. By applying Markov
process method to the data, the drives are classified with 73% accuracy.

Keywords

Driver classification, Markov Process, Drive data analysis

Supporting Institution

Eskişehir Teknik Üniversitesi

Project Number

1701F020

Thanks

This study is supported by Eskişehir Technical University Scientific Research Project numbered 1701F020.

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