Detail publikace

A Simple State-Space Model of Human Driver Applicable to Windy Conditions

ČELKO, J. MIHÁLIK, O. HUSÁK, M. BRADÁČ, Z.

Originální název

A Simple State-Space Model of Human Driver Applicable to Windy Conditions

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper is concerned with the design, verification and evaluation of a car-driving test scenario for human driver assessment. The scenario implemented in Unreal Engine adds four different wind characteristics which disturb the motion of a simulated vehicle. Besides, the driver is instructed to change the driving lane at defined intervals. These forcing functions enable the identification of the human-machine loop using state-space models. The parameters characterising the human dynamics are extracted from the model of the whole loop. As opposed to rather obsolete McRuer models, this approach follows the recent trends in the modelling of human-machine systems as multiloop systems or quadratically optimal controllers. Our results suggest that the model relying on a single transfer function with 4 parameters loses prediction capabilities during more realistic scenarios, in which random disturbances, such as wind gusts, affect the vehicle. In such cases, the multiloop model with the same number of parameters is able to capture human behaviour more accurately than McRuer model.

Klíčová slova

driving simulator, human dynamics, identification, multiloop model

Autoři

ČELKO, J.; MIHÁLIK, O.; HUSÁK, M.; BRADÁČ, Z.

Vydáno

14. 8. 2024

Nakladatel

Elsevier

ISSN

2405-8963

Periodikum

IFAC-PapersOnLine (ELSEVIER)

Ročník

58

Číslo

9

Stát

Nizozemsko

Strany od

229

Strany do

234

Strany počet

6

URL

BibTex

@inproceedings{BUT189148,
  author="Jakub {Čelko} and Ondrej {Mihálik} and Michal {Husák} and Zdeněk {Bradáč}",
  title="A Simple State-Space Model of Human Driver Applicable to Windy Conditions",
  booktitle="18th IFAC Conference on Programmable Devices and Embedded Systems – PDeS 2024.",
  year="2024",
  journal="IFAC-PapersOnLine (ELSEVIER)",
  volume="58",
  number="9",
  pages="229--234",
  publisher="Elsevier",
  doi="10.1016/j.ifacol.2024.07.401",
  issn="2405-8963",
  url="https://www.sciencedirect.com/science/article/pii/S2405896324004907"
}