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  • Eskişehir Technical University Journal of Science and Technology A - Applied Sciences Engineering
  • Volume:21 Issue:2
  • IDENTIFICATION OF DRIVING CHARACTERISTICS USING MARKOV PROCESS MODEL

IDENTIFICATION OF DRIVING CHARACTERISTICS USING MARKOV PROCESS MODEL

Authors : Tuba Nur SERTTAŞ, Ömer Nezih GEREK, Fatih Onur HOCAOĞLU
Pages : 314-321
Doi:10.18038/estubtda.584942
View : 14 | Download : 9
Publication Date : 2020-06-15
Article Type : Research Paper
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

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