Over the past decade, digitalization has reshaped automotive development, replacing many physical tests with simulations and digital twins. Physical tire models, once underestimated or treated as niche, have become indispensable, with real-time capability enabling accurate studies of handling and ride on the driving simulator. Today, the industry moves beyond objective metrics toward subjective assessment – how a vehicle feels to the driver. But a fundamental challenge remains: the lack of high-quality, standardized tire data at reasonable cost and availability. Closing this gap is essential. Only with accurate and validated datasets can we unlock the full potential of digital development.

• Importance of physical tire models
• Requirement for physical tire models in a zero prototype product development strategy
• Tire data acquisition for physical tire models
• Real-time application of physical tire models in an HIL context
• Universal tire model for all applications, including subjective evaluation on a driving simulator