Statistical Learning-Based Analysis of Human Driver Model Parameters

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but.event.date29.04.2025cs
but.event.titleSTUDENT EEICT 2025cs
dc.contributor.authorWojnarowský, Kryštof
dc.contributor.authorMihálik, Ondrej
dc.date.accessioned2025-07-30T10:00:53Z
dc.date.available2025-07-30T10:00:53Z
dc.date.issued2025cs
dc.description.abstractThis paper focuses on the development of functions and scripts capable of analyzing the parameters of a mathematical model of human drivers using the MATLAB environment. The main goal of this work was to confirm or refute the correlation between questionnaire responses and mathematical parameters. For this purpose, a set of scripts and functions was created, utilizing artificial intelligence-based statistical learning methods, such as regression and classification tools.en
dc.formattextcs
dc.format.extent83-86cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 31st Conference STUDENT EEICT 2025: General papers. s. 83-86. ISBN 978-80-214-6321-9cs
dc.identifier.isbn978-80-214-6321-9
dc.identifier.urihttps://hdl.handle.net/11012/255249
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 31st Conference STUDENT EEICT 2025: General papersen
dc.relation.urihttps://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdfcs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectstatistical learningen
dc.subjectMATLABen
dc.subjectvehicle simulatoren
dc.subjectdynamical modelsen
dc.subjectMcRuer modelen
dc.subjectDonges modelen
dc.titleStatistical Learning-Based Analysis of Human Driver Model Parametersen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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