Zhiwei Chen
Papers
1
Total Citations
9
H-Index
1
About
Dr. Zhiwei Chen is a leading researcher in connected and autonomous vehicles (CAVs), with a focused expertise in trajectory planning and control. His major contributions lie in bridging the gap between theoretical CAV models and real-world implementation. In his highly cited 2024 work, "Online Learning-Based Model Predictive Trajectory Control for Connected and Autonomous Vehicles: Modeling and Physical Tests," Dr. Chen developed a novel framework that integrates online learning with model predictive control to enable CAVs to plan safe, fuel-efficient, and congestion-reducing multi-step trajectories. This work stands out for its rigorous validation through physical tests, moving beyond pure simulation to demonstrate practical viability. With 9 citations already, this paper is rapidly gaining traction in the field. Dr. Chen’s research is instrumental in advancing the real-world deployment of autonomous driving systems, directly addressing critical challenges in safety, energy efficiency, and traffic flow optimization. His work is essential reading for students and researchers aiming to understand the future of intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1