Papers
2
Total Citations
4
H-Index
2
About
Xuting Duan is a rising researcher in intelligent transportation systems, with a focus on cooperative control and motion planning for connected and automated vehicles (CAVs). Their work addresses critical challenges in traffic bottleneck areas, particularly highway merging maneuvers, where prediction errors and diverse driving styles often lead to congestion or accidents. Duan’s most-cited paper, "An Optimal Control Based Trajectory Planning Method for Cooperative Merging Maneuvers" (2023, 2 citations), introduces a novel approach that enables CAVs to merge efficiently and safely by optimizing trajectories in real time. This work demonstrates their expertise in applying optimal control theory to real-world traffic coordination problems. Additionally, Duan has contributed to multi-agent autonomous systems with their paper "A Multi-agent Autonomous Formation Motion Planning Method for Car-Like Robots Based on the Leader-Follower Model" (2023, 2 citations), which advances formation control for robotic fleets. Though early in their career, Duan’s research holds promise for reducing traffic congestion and enhancing road safety, making them a notable contributor to the future of automated mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2