Publication detail

Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task

JIRGL, M. MESÁROŠOVÁ, M. FIEDLER, P. ARM, J.

Original Title

Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task

Type

conference paper

Language

English

Original Abstract

The paper presents an experiment with fuzzy-logic-based models for approximating data representing human driver behavior during a simple lane-changing task. Data are acquired via the self-developed car driving simulator under defined conditions. Three fuzzy-logic-based models are considered: fuzzy Hammerstein model, fuzzy PD controller with a fixed structure (analogy to the linear PD controller) and fuzzy PD controller with an optimized structure. A comparison of the effectiveness of the individual approaches was evaluated using a criterion representing the fitness of the model output and the measured data. Although only one dataset was considered in the frame of this paper, the results indicate an investigative potential of the fuzzy models for this kind of task connected with the modelling of human behavior.

Keywords

Human driver model, Hammerstein model, fuzzy logic, fuzzy controller, car driving simulator

Authors

JIRGL, M.; MESÁROŠOVÁ, M.; FIEDLER, P.; ARM, J.

Released

19. 6. 2024

Publisher

Elsevier

Location

Brno

ISBN

2405-8963

Periodical

IFAC-PapersOnLine (ELSEVIER)

Year of study

58

Number

9

State

Kingdom of the Netherlands

Pages from

257

Pages to

262

Pages count

6

URL

https://www.sciencedirect.com/science/article/pii/S2405896324004956

Full text in the Digital Library

http://hdl.handle.net/11012/249474

BibTex

@inproceedings{BUT189534,
  author="Miroslav {Jirgl} and Michaela {Mesárošová} and Petr {Fiedler} and Jakub {Arm}",
  title="Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task",
  booktitle="Conference proceedings of 18th IFAC Conference on Programmable Devices and Embedded Systems PDES 2024",
  year="2024",
  journal="IFAC-PapersOnLine (ELSEVIER)",
  volume="58",
  number="9",
  pages="257--262",
  publisher="Elsevier",
  address="Brno",
  doi="10.1016/j.ifacol.2024.07.406",
  issn="2405-8963",
  url="https://www.sciencedirect.com/science/article/pii/S2405896324004956"
}