Zhicheng Su
Papers
1
Total Citations
27
H-Index
1
About
Zhicheng Su is a leading researcher in vehicle dynamics and human–machine interaction, with a primary focus on steering feel and driver–vehicle feedback. His most influential work, “Links between subjective assessments and objective metrics for steering, and evaluation of driver ratings” (2014, 27 citations), addresses a critical challenge in automotive engineering: bridging the gap between how drivers perceive steering quality and measurable vehicle performance. Su’s research systematically identifies correlation links between subjective assessments and objective metrics, enabling engineers to predict driver ratings early in the vehicle development process. This work has practical implications for reducing reliance on costly, late-stage prototype evaluations and accelerating design iterations. By establishing a framework to translate human perception into engineering targets, Su has contributed to more efficient, data-driven vehicle development. His findings are particularly valuable for steering system calibration and chassis tuning, where subjective feel remains paramount. With growing interest in automated driving and shared control, Su’s insights into driver–vehicle interaction continue to inform both academic research and industrial practice, making him a notable figure in the field of automotive human factors.
Research Focus
Key Achievements
Top Papers
- 1