Huizhen Long
Papers
1
Total Citations
8
H-Index
1
About
Huizhen Long is a researcher focused on intelligent transportation systems and smart city infrastructure, with a particular emphasis 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), has already garnered 8 citations, demonstrating early impact in this emerging field. In this study, Long addresses critical urban challenges stemming from rapid urbanization in China—namely, crowded public spaces, traffic congestion, and safety hazards. She proposes an innovative approach that enhances the Dynamic Window Approach (DWA) algorithm with robot assistance to more effectively control and optimize pedestrian flow. This work contributes to improving both the efficiency and safety of crowded environments, offering practical solutions for modern cities. Long’s research sits at the intersection of robotics, urban planning, and artificial intelligence, making her a promising voice in the development of smarter, safer urban spaces. Her contributions are particularly relevant for researchers and students interested in autonomous navigation, crowd dynamics, and the application of robotics to real-world urban challenges.
Research Focus
Key Achievements
Top Papers
- 1