Mine4Race: A user-friendly toolset for enhancing racing telemetry analysis and visualization

In motorsports, from amateur racers to professional teams, optimizing performance is essential, whether it is by reducing lap times or maximizing power efficiency. Identifying potential driving improvements and understanding vehicle limitations are key factors in this pursuit. Even the smallest details can make a difference, making on-track data analysis critical. Engineers must rapidly interpret and communicate insights to drivers and teams, often under intense pressure. In collaboration with a motorcycle racing team, we identified key priorities and challenges in track-side data analysis to develop Mine4Race, a visual analytics system designed to help engineers in exploring telemetry data with riders. The system offers specialized charts and performance comparisons across laps, allowing users to highlight critical aspects of driving behavior and vehicle dynamics. In addition, Mine4Race features a simulation module based on configurable motorbike parameters and integrates external data sources, such as maps and weather conditions, to provide a comprehensive analytical framework. With its web-based design, it ensures optimal accessibility and usability, even in the fast-paced environment of the racetrack. We assessed the system’s effectiveness through a case study conducted during a real-world racing competition, where domain experts actively utilized it for in-depth performance analysis.