Ride Comfort

Ride comfort research focuses on minimizing passenger discomfort during vehicle travel, primarily by optimizing suspension systems and vehicle motion control. Current efforts involve developing advanced control algorithms, such as reinforcement learning and optimization-based motion planners, often incorporating detailed human body models to accurately predict comfort levels based on factors like acceleration and head motion. This research is crucial for improving passenger experience in both conventional and autonomous vehicles, impacting vehicle design, safety systems, and the overall user experience.