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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152088" target="_blank" >RIV/00216305:26220/24:PU152088 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2405896324004956" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896324004956</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2024.07.406" target="_blank" >10.1016/j.ifacol.2024.07.406</a>

Result language
angličtina
Original language name
Fuzzy Logic-based Techniques for Human Driver Behavior Modelling during a Simple Lane-changing Task
Original language description
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.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Conference proceedings of 18th IFAC Conference on Programmable Devices and Embedded Systems PDES 2024
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
257-262
Publisher name
Elsevier
Place of publication
Brno
Event location
Brno
Event date
Jun 19, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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