Papers
1
Total Citations
8
H-Index
1
About
Yingyue Hu is a rising researcher in intelligent transportation systems and smart city infrastructure, with a focus on pedestrian flow management and human-robot interaction. Her most-cited work, "The analysis of pedestrian flow in the smart city by improved DWA with robot assistance" (2024, 8 citations), introduces an innovative approach that integrates an enhanced Dynamic Window Approach (DWA) with robotic assistance to optimize pedestrian movement in crowded urban environments. This contribution directly addresses critical challenges in China’s rapidly urbanizing cities, where population density often leads to traffic congestion and safety hazards. By developing algorithms that enable robots to dynamically navigate and guide pedestrian flows, Hu’s research offers practical solutions for improving public space efficiency and reducing accident risks. Her work bridges robotics, urban planning, and artificial intelligence, demonstrating a clear pathway toward safer, smarter cities. Though early in her career, Hu’s focus on real-world urban mobility problems and her integration of cutting-edge robotic control methods mark her as a promising contributor to the field, with potential for significant future impact as smart city technologies continue to evolve.
Research Focus
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Top Papers
- 1