Detail publikace

Analysis of Car Drivers’ Behaviour and Driving Style

NOVIK, S. MIHÁLIK, O.

Originální název

Analysis of Car Drivers’ Behaviour and Driving Style

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Driving security remains one of the important issues. Nowadays, various assistance systems are implemented, such as the systems for analysis of control of a car by its driver. To understand the performance of the driver’s control, a program was created to obtain valuable data and relevant characteristics. To obtain the data, we used an internally designed, laboratory-made vehicle driving simulator developed by D. Michalík [2]. Driver data were obtained using a proprietary vehicle driving simulator, and these were evaluated in the MATLAB environment via integral criteria and other calculated parameters, such as reaction delay. Features thus obtained were used as a training set for the machine learning, using LDA and QDA methods (linear and quadratic discriminant analysis). These methods reveal information concerning the importance of features for the task of driver’s identity prediction based solely on the driving actions.

Klíčová slova

Feedback control, driver analysis, integral criteria of quality, machine learning, MATLAB, vehicle driving simulator

Autoři

NOVIK, S.; MIHÁLIK, O.

Vydáno

26. 4. 2022

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-6029-4

Kniha

Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers

Edice

1

Strany od

47

Strany do

50

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf

BibTex

@inproceedings{BUT177683,
  author="Svatoslav {Novik} and Ondrej {Mihálik}",
  title="Analysis of Car Drivers’ Behaviour and Driving Style",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General papers",
  year="2022",
  series="1",
  pages="47--50",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf"
}