Gayoung Kang
Papers
1
Total Citations
11
H-Index
1
About
Gayoung Kang is an emerging researcher in sustainable urban mobility and autonomous systems, with a primary focus on the environmental and operational benefits of autonomous driving technologies. Their most-cited work, "Autonomous driving parking robot systems for urban environmental benefit evaluation" (2024, 11 citations), provides a pioneering assessment of how automated parking robots can reduce urban congestion, lower emissions, and optimize land use in dense city environments. This research bridges the gap between robotics, transportation engineering, and environmental science, offering actionable insights for smart city planners and policymakers. Kang’s contributions are particularly notable for their quantitative evaluation framework, which sets a precedent for future studies on autonomous vehicle infrastructure. With a growing citation record, Kang is establishing themselves as a key voice in the intersection of automation and sustainability, and their work is already influencing discussions on eco-friendly urban logistics. As the field of autonomous driving expands, Kang’s research will likely become a cornerstone for evaluating real-world environmental gains from robotic systems.
Research Focus
Key Achievements
Top Papers
- 1