Zhouqiao Zhao

University of California, Riverside

Papers

1

Total Citations

3

H-Index

1

About

Zhouqiao Zhao is a rising researcher in intelligent transportation systems, with a focus on connected and automated vehicles (CAVs) and their integration into future transport networks. His work addresses the critical gap between vehicle automation capabilities and tangible traffic flow improvements, exploring how CAVs can be leveraged for safer, more sustainable mobility in both urban and highway environments. Notably, Zhao contributed to the design and analysis of the JRC AUTOTRAC 2020 robotic competition, which served as a testbed for innovative transport system concepts. While his citation count is still growing, his research is foundational in shaping how competitions and real-world experiments can inform policy and infrastructure design. Zhao’s work is particularly relevant for students and researchers interested in the intersection of robotics, traffic engineering, and smart city development, offering a hands-on perspective on how emerging technologies can be systematically evaluated before large-scale deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of California, Riverside

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago