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Detail publikačního výsledku
JIRGL, M.; MESÁROŠOVÁ, M.; FIEDLER, P.; ARM, J.
Originální název
Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Human driver model, Hammerstein model, fuzzy logic, fuzzy controller, car driving simulator
Klíčová slova v angličtině
Autoři
Rok RIV
2025
Vydáno
19.06.2024
Nakladatel
Elsevier
Místo
Brno
Kniha
Conference proceedings of 18th IFAC Conference on Programmable Devices and Embedded Systems PDES 2024
ISSN
2405-8963
Periodikum
IFAC-PapersOnLine
Svazek
58
Číslo
9
Stát
Spojené království Velké Británie a Severního Irska
Strany od
257
Strany do
262
Strany počet
6
URL
https://www.sciencedirect.com/science/article/pii/S2405896324004956
Plný text v Digitální knihovně
http://hdl.handle.net/11012/249474
BibTex
@inproceedings{BUT189534, author="Miroslav {Jirgl} and Michaela {Hečková} 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", volume="58", number="9", pages="257--262", publisher="Elsevier", address="Brno", doi="10.1016/j.ifacol.2024.07.406", issn="2405-8971", url="https://www.sciencedirect.com/science/article/pii/S2405896324004956" }