How does the automatic speed adjustment module work?
The Mission Performance module is a performance management system that does not change the parameters of the vehicle model but adjusts performance goals for critical modules - such as motion planning and control. Instead of trying to estimate tire grip in real time, which is risky and difficult to implement, the system operates at the level of performance goals. This means that instead of modifying the physical model of the vehicle, the module tells other components: 'you can drive faster, slower, or maintain the current speed - depending on the conditions.' This approach allows for greater stability and safety during dynamic,
automatic speed adjustments. The system uses pre-defined tire warm-up routines at the beginning of the track, which prevents overheating or insufficient warming of the tires in the first seconds of the race.
The module's operation is based on continuous monitoring of safety and vehicle dynamics metrics - sector by sector. Each part of the track is analyzed individually for driving conditions, which allows the system to decide in real time whether to reduce, maintain, or increase the performance level. In this way, the module gradually approaches the maximum permissible speed, avoiding excessive risks and ensuring a smooth race.
Tests on the Yas Marina circuit - real verification of effectiveness
The effectiveness of the solution was confirmed during Season 2 of the Abu Dhabi Autonomous Racing League (A2RL) at the Yas Marina circuit. This is where the EAV-25 car operated - a fully autonomous Dallara Superformula - which used the Mission Performance module in real conditions. The study did not only involve simulations, but also actual driving on the race track with full dynamic loads and changing track conditions.
The results indicate that the system can effectively manage the course of the race - from initial tire warm-up to gradually increasing speed. Thanks to this, the car can achieve lower lap times without compromising safety, which is a key goal in autonomous racing projects. However, the tests did not show the possibility of fully automating all aspects of driving - the module acts as an aid for other systems, rather than replacing them.
Enlarged imageClose zoomPrevious imageWhy is this important for the future of autonomous mobility?
The Mission Performance solution shows how high performance can be achieved in autonomous systems without the need to continuously model complex physical factors - such as grip force. Instead of trying to "understand" every moment of driving, the system operates at the level of goals and adaptation. This approach can be transferred to other applications where safety and smoothness are equally important - for example, in autonomous logistics or urban transport.
However, it is worth emphasizing that the results apply only to one type of vehicle (EAV-25) and one track (Yas Marina). There is no information about the scalability of the solution to other classes of vehicles, weather conditions or different tracks. Therefore, it is not yet possible to talk about a general solution for the entire industry - this is a specific implementation in a racing context.
Limitations and what remains unclear
Although the module has been tested on a real track, its effectiveness has not been compared with other approaches - e.g., systems based on real-time grip estimation. There is no data on how the system performs in rainy conditions, changes in track temperature or with large differences between sectors. Furthermore, it is unknown whether the module can operate without access to previously defined tire warm-up sequences - whether it is flexible in the case of non-standard starting conditions.
It is also worth noting that the document does not contain data on the system's reaction time or its computational performance. There is a lack of information about how often the module updates its decisions and whether it can operate under limited computing power - which is important for commercial applications.
It is worth emphasizing that although the Mission Performance module shows potential in a racing context, its application outside this environment requires further research. The lack of data on computational performance and system response time limits its practical application in real-world conditions, where decisions must be made in milliseconds. In addition, the lack of comparison with other approaches - such as real-time grip estimation - makes it impossible to assess its unique value compared to other solutions. The system works best in controlled conditions and with predefined sequences, which means limited flexibility in dynamic or non-standard scenarios.
Therefore, its role remains supportive - it does not replace full autonomy, but enables smooth and safe adjustment of the driving speed to current track conditions, which is a key step towards more advanced autonomous systems. In the future, this approach may be extended to other areas of mobility, but only after further validation and adaptation to various operating conditions.