Publication result detail

Statistical Learning-Based Analysis of Human Driver Model Parameters

WOJNAROWSKÝ, K.; MIHÁLIK, O.

Original Title

Statistical Learning-Based Analysis of Human Driver Model Parameters

English Title

Statistical Learning-Based Analysis of Human Driver Model Parameters

Type

Paper in proceedings (conference paper)

Original Abstract

This paper focuses on the development of functions and scripts capable of analyzing the parameters of a mathematical model of human drivers using the MATLAB environment. The main goal of this work was to confirm or refute the correlation between questionnaire responses and mathematical parameters. For this purpose, a set of scripts and functions was created, utilizing artificial intelligence-based statistical learning methods, such as regression and classification tools.

English abstract

This paper focuses on the development of functions and scripts capable of analyzing the parameters of a mathematical model of human drivers using the MATLAB environment. The main goal of this work was to confirm or refute the correlation between questionnaire responses and mathematical parameters. For this purpose, a set of scripts and functions was created, utilizing artificial intelligence-based statistical learning methods, such as regression and classification tools.

Keywords

statistical learning, MATLAB, vehicle simulator,dynamical models, McRuer model, Donges model

Key words in English

statistical learning, MATLAB, vehicle simulator,dynamical models, McRuer model, Donges model

Authors

WOJNAROWSKÝ, K.; MIHÁLIK, O.

RIV year

2026

Released

29.04.2025

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno, Czechia

ISBN

978-80-214-6321-9

Book

Proceedings I of the 31st Conference STUDENT EEICT 2025

Edition

1

Pages from

83

Pages to

86

Pages count

4

URL

BibTex

@inproceedings{BUT197780,
  author="Kryštof {Wojnarowský} and Ondrej {Mihálik}",
  title="Statistical Learning-Based Analysis of Human Driver Model Parameters",
  booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025",
  year="2025",
  series="1",
  number="1",
  pages="83--86",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno, Czechia",
  isbn="978-80-214-6321-9",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf"
}