Jiangbo Yu
Papers
1
Total Citations
9
H-Index
1
About
Jiangbo Yu is a pioneering researcher at the forefront of human-machine interaction, with a primary focus on the transformative potential of agentic systems in transportation. His work explores how autonomous agents—ranging from AI-driven vehicles to intelligent traffic management—can reshape mobility, emphasizing both technological opportunities and societal implications. Yu’s most cited paper, “Preparing for an agentic era of human-machine transportation systems: Opportunities, challenges, and policy recommendations” (2025), has already garnered 9 citations, signaling its early impact in defining this emerging field. In this seminal work, he systematically outlines the critical balance between innovation and regulation, proposing actionable policy frameworks to ensure safe, equitable, and efficient integration of agentic systems into daily transport. Beyond this, Yu’s research contributes to broader discussions on human-centered AI, trust in automation, and the ethical design of autonomous technologies. His insights are particularly valuable for students and researchers navigating the intersection of engineering, policy, and human factors. As the agentic era unfolds, Jiangbo Yu’s forward-looking analyses will undoubtedly guide both academic inquiry and real-world implementation.
Research Focus
Key Achievements
Top Papers
- 1