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Detail publikačního výsledku
FOJTÁŠEK, J.; BÖHM, M.
Originální název
Development of a Data-Driven Methodology for Rapid Identification of Key Performance Indicators in Motorcycle Racing
Anglický název
Druh
Článek Scopus
Originální abstrakt
This study presents a novel method for the rapid identification of key performance indicators (KPIs) from measured riding data of a Ducati Panigale V2 motorcycle, aimed at enhancing racing performance through a deeper understanding of rider-vehicle interaction. The methodology involves the design and implementation of mathematical tools within the RaceStudio3 software to analyze data from the motorcycle’s sensor system. This approach facilitates the swift detection of critical events, including gearshift delays, improper throttle control, and suspension issues. The fusion of data from the motorcycle enables a comprehensive evaluation of the rider’s influence on performance. The results demonstrate the potential of the proposed method to provide valuable insights for optimizing motorcycle setup and rider technique.
Anglický abstrakt
Klíčová slova
data analysis; key performance indicators (KPIs); mathematical modeling; motorcycle dynamics; performance optimization; rider-vehicle interaction
Klíčová slova v angličtině
Autoři
Vydáno
28.10.2025
Periodikum
Engineering Proceedings
Svazek
113
Číslo
1
Stát
Švýcarská konfederace
Strany od
Strany do
10
Strany počet
URL
https://www.mdpi.com/2673-4591/113/1/12
Plný text v Digitální knihovně
http://hdl.handle.net/11012/255772
BibTex
@article{BUT200050, author="Jan {Fojtášek} and Michael {Böhm}", title="Development of a Data-Driven Methodology for Rapid Identification of Key Performance Indicators in Motorcycle Racing", journal="Engineering Proceedings", year="2025", volume="113", number="1", pages="10", doi="10.3390/engproc2025113012", url="https://www.mdpi.com/2673-4591/113/1/12" }
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