Identification of Driving Characteristics Using Markov Process Model

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.