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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 17 Issue 5, 2026.
Abstract: This study presents a state-of-the-art review of Artificial Intelligence and Machine Learning applications in motorsport, with a particular focus on Formula 1. As modern racing generates increasingly large volumes of high-frequency telemetry data, traditional physics-based analysis methods have proven insufficient to capture the complex, non-linear relation-ships between vehicle, driver, and environment. AI has emerged as a critical tool for extracting actionable insights from this data across six core domains: vehicle performance optimization, race strategy, autonomous racing and real-time decision support, telemetry and race data analysis, driver coaching and simulation, and predictive maintenance. This review further examines transferable methodologies from adjacent fields — particularly autonomous driving research — and assesses their relevance to high-performance motorsport contexts. A systematic analysis of peer-reviewed publications and preprints reveals a highly uneven distribution of research, with race strategy and vehicle optimization relatively well-covered, while predictive maintenance and computer vision applications remain largely unexplored.
Radu C. Lucaciu and Cornelia Aurora Gyorödi. “Artificial Intelligence in Motorsport: A Scoping Review of Applications, Challenges, and Research Gaps”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.5 (2026). http://dx.doi.org/10.14569/IJACSA.2026.01705101
@article{Lucaciu2026,
title = {Artificial Intelligence in Motorsport: A Scoping Review of Applications, Challenges, and Research Gaps},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.01705101},
url = {http://dx.doi.org/10.14569/IJACSA.2026.01705101},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {5},
author = {Radu C. Lucaciu and Cornelia Aurora Gyorödi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.