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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • 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

  • 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

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-105025667062