 The system generates predictions within 33ms, making it over 9,000 times faster than traditional methods of finding the optimal racing line . Results suggest that a data-driven approach may therefore be favourable for real-time generation of near-optimal racing lines than traditional computational methods.
<fluency>  The system generates predictions within 33ms, making it over 9,000 times faster than traditional methods of finding the optimal racing line . Results suggest that a data-driven approach may therefore be favourable for real-time generation of near-optimal racing lines than traditional computational methods.
 The system generates predictions within 33ms, making it over 9,000 times faster than traditional methods of finding the optimal racing line . Results suggest that data-driven approach may therefore be favourable for real-time generation of near-optimal racing lines than traditional computational methods.