Putting racing data to work to improve team performance
Advancing the utilization of mass racing data
Advances in Internet of Things (IoT) technologies have made mass data available from various sensors installed in racing cars.
In Super Formula, the highest motor vehicle racing category in Japan, ABeam Consulting has been working closely with Real Racing Team to promote progress in the utilization of mass data.
Examples of present status, issues and needs in racing data utilization
Organizing data promptly and accurately, deriving useful results through advanced analysis, and managing data as a long-term asset.
ABeam Consulting enables you to organize/analyze data promptly and accurately through a one-stop service based on ABeam Cloud®. Our knowledge of sports analytics enables incomparably useful results through analysis and by managing data as a long-term asset.
(Example 1) Visualizing the driver's manipulation and machine loads/behavior
We visualize data on steering/accelerator/brake manipulation, machine loads, machine behavior against steering etc. This produces visually-oriented discussion materials founded in the data to help determine proper machine settings and manipulation of controls by the driver.
(Example 2) Race video analysis
We identify several turns where gaps between cars tend to expand, and we compare each cars' course line, speed and other factors at the relevant turns.
We also take account of data that changes moment to moment, (air temperature, humidity, road surface temperature, etc.).
This produces discussion materials to help determine the best way for drivers to take the relevant turns.
(Example 3) Utilizing live data with RPA
Our aim is to implement mechanisms by which to organize/analyze live racing data through robotic process automation(RPA), and to utilize data promptly and accurately.
About Real Racing
Real Racing Team is one of the r acing teams participating in Super Formula, the highest motor race category in Japan. Koudai Tsukakoshi participates in the race in season 2018.