Handong Yao
Papers
1
Total Citations
9
H-Index
1
About
Handong Yao is a leading researcher in connected and autonomous vehicles (CAVs), with a focus on trajectory planning and control systems that enhance fuel efficiency, reduce congestion, and improve road safety. His most-cited work, "Online Learning-Based Model Predictive Trajectory Control for Connected and Autonomous Vehicles: Modeling and Physical Tests" (2024, 9 citations), introduces a novel framework that integrates online learning with model predictive control to enable real-time, adaptive trajectory decisions for CAVs. This contribution bridges the gap between theoretical models and physical implementation, demonstrating robust performance in real-world tests. Yao’s research is pivotal in advancing the practical deployment of CAVs, offering scalable solutions for dynamic traffic environments. His work not only pushes the boundaries of autonomous vehicle control but also provides a foundation for future studies in intelligent transportation systems. With growing recognition in the field, Yao continues to shape the next generation of safe, efficient, and connected mobility.
Research Focus
Key Achievements
Top Papers
- 1