Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task
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Date
2024-06-19
Authors
Jirgl, Miroslav
Mesárošová, Michaela
Fiedler, Petr
Arm, Jakub
0000-0002-1037-0641Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
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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.
Description
Citation
IFAC-PapersOnLine (ELSEVIER). 2024, vol. 58, issue 9, p. 257-262.
https://www.sciencedirect.com/science/article/pii/S2405896324004956
https://www.sciencedirect.com/science/article/pii/S2405896324004956
Document type
Peer-reviewed
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Published version
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Language of document
en
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Defence
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/