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

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Název: Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task
Autoři: Jirgl, Miroslav, Hečková, Michaela, Fiedler, Petr, Arm, Jakub
Zdroj: IFAC-PapersOnLine. 58:257-262
Informace o vydavateli: Elsevier BV, 2024.
Rok vydání: 2024
Témata: fuzzy controller, car driving simulator, fuzzy logic, Hammerstein model, Human driver model
Popis: 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.
Druh dokumentu: Article
Conference object
Popis souboru: text; application/pdf
Jazyk: English
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2024.07.406
Přístupová URL adresa: http://hdl.handle.net/11012/249474
Rights: Elsevier TDM
Přístupové číslo: edsair.doi.dedup.....089d9bd5d18fa3b45d481a8e103623c7
Databáze: OpenAIRE
Popis
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.
ISSN:24058963
DOI:10.1016/j.ifacol.2024.07.406