Xuanpeng Zhao
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xuanpeng Zhao is a pioneering researcher at the intersection of connected and automated vehicle (CAV) technologies and intelligent transportation systems. His work focuses on harnessing vehicle automation and connectivity to design safer, more sustainable future transport networks, particularly in complex urban and highway environments. A key contribution is his leadership in robotic competitions as a testbed for innovation, exemplified by his work on the JRC AUTOTRAC 2020 competition, which demonstrated how competitive platforms can accelerate the development of efficient CAV-driven traffic flow solutions. While his most cited paper has garnered 3 citations, its significance lies in framing a novel methodology for translating automation opportunities into tangible traffic improvements—a challenge he continues to address. Dr. Zhao’s research is notable for bridging the gap between theoretical CAV potential and practical deployment, offering insights into how connectivity can be leveraged to reduce congestion and emissions. His work is essential reading for students and researchers exploring the real-world integration of autonomous systems into tomorrow’s mobility landscape.
Research Focus
Key Achievements
Top Papers
- 1