This joint work between EDAG and MegaRide presents the integration of a high-fidelity driving simulator with an advanced multiphysical tire model for enhanced driver training. The tire model reproduces complex phenomena concerning tire-road interaction, including friction, thermodynamics and wear, for handling and ride and comfort applications. The system supports immersive training, preparing drivers for unknown tracks by simulating realistic vehicle behavior in multiple scenarios. Objective metrics specifically developed for vehicle dynamics were used to analyze and validate the approach. This collaboration highlights the potential of integrated simulation technologies to improve driver readiness and optimize performance in motorsport and advanced driving contexts.

• Multiphysical tire modeling enhances simulation accuracy for handling, ride quality and comfort analysis for motorsport and passenger applications
• Advanced tire models in simulators boost training realism and help drivers adapt to different driving conditions, even on unknown tracks
• Custom vehicle dynamics metrics provide objective evaluation of driver training effectiveness and time reduction for real session preparation
• Integrated simulation enables safe, repeatable testing of extreme scenarios without real-world risks or resource constraints
• The approach accelerates drivers' learning curves by exposing them to diverse tire behaviors and vehicle responses in simulation