Development of a Data-Driven Methodology for Rapid Identification of Key Performance Indicators in Motorcycle Racing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0200050" target="_blank" >RIV/00216305:26210/26:0200050 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2673-4591/113/1/12" target="_blank" >https://www.mdpi.com/2673-4591/113/1/12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/engproc2025113012" target="_blank" >10.3390/engproc2025113012</a>
Alternative languages
Result language
angličtina
Original language name
Development of a Data-Driven Methodology for Rapid Identification of Key Performance Indicators in Motorcycle Racing
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/EH23_020%2F0008528" target="_blank" >EH23_020/0008528: Innovative Technologies for Smart Low Emission Mobilities</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering Proceedings
ISSN
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e-ISSN
2673-4591
Volume of the periodical
113
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105025667062