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1. Drifting Maneuver Investigation via Phase Plane Analysis of Experimental Data

2. Tire Viscoelasticity Characterization for Adhesion Phenomena Analysis by Using the VESevo Innovative Technology

3. An Enhanced Greenwood-Williamson Contact Model for the Evaluation of Local Tire/Road Contact Area

4. Necessity of the Tire Temperature-Dependant Parameters in Vehicle Virtual Sensing

5. Laboratory Linear Friction Tester: Design and Results

9. Virtual 7-Post Rig: A 7 DoF Vehicle Model for Suspensions Parameters Optimization

10. Development of an Innovative Instrument for Non-destructive Viscoelasticity Characterization: VESevo

11. Identification of Tire Transient Parameters from Vehicle Onboard Sensors Data

13. Analysis of Tire Temperature Influence on Vehicle Dynamic Behaviour Using a 15 DOF Lumped-Parameter Full-Car Model

14. A Preliminary Study for the Comparison of Different Pacejka Formulations Towards Vehicle Dynamics Behaviour

15. Towards T.R.I.C.K. 2.0 – A Tool for the Evaluation of the Vehicle Performance Through the Use of an Advanced Sensor System

16. Analysis of Multiscale Theories for Viscoelastic Rubber Friction

17. Torque Vectoring Control for Fully Electric SAE Cars

18. Preliminary Implementation of Model-Based Algorithms for Truck Tire Characterizations from Outdoor Sessions

20. Performance and Safety Enhancement Strategies in Vehicle Dynamics and Ground Contact.

22. A New Approach for Estimating Tire-Road Longitudinal Forces for a Race Car

23. An Application of TRIP-ID: MF Identification Tool for an Automobile Tire Interaction Curves Dataset

24. Performance Indices for Motorsport Drivers Analysis

36. Adaptive vehicle dynamics state estimator for onboard automotive applications and performance analysis.

38. VESevo, an innovative device for non-destructive and smart viscoelastic characterization of tires compounds.

39. Experimental friction analysis through innovative compound-substrate contact modelling for automotive applications.

46. Tire Wear Sensitivity Analysis and Modeling Based on a Statistical Multidisciplinary Approach for High-Performance Vehicles.

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