In this webinar Benjamin Kulmer-Pearce presents a tool that enables objective driveability assessment and development to help achieve optimum customer satisfaction.Key topics and takeaways:
• Scripted data processing and analysis views help to identify the root causes of issues
• Closing the gap between multi-faceted subjective perception and its automated mathematical description using machine learning methods
• Designing analysis calculations and visualizations to fit specific needs
• Integrating results into the AVL-DRIVE 5 data structure
• Identifying characteristics for individual shift types (e.g. dynamic Power-On-Upshift)
• Assessing shift characteristics across the operating range