This inventor holds 1 USPTO granted patent. Top assignees: Central South University, Chongqing Geomatics and Remote Sensing Center. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Zelie Zhang: Innovator in Traffic Flow Detection
Introduction
Zelie Zhang is a prominent inventor based in Changsha, China. He has made significant contributions to the field of traffic flow analysis through his innovative detection methods. His work focuses on improving the understanding of key road-sections, which is crucial for effective traffic management.
Latest Patents
Zhang holds a patent for a "Detection method of key road-sections based on Ricci flow." This method involves building a weighted road network using static road network data and actual traffic flow data. It calculates initial values of Olivier Ricci curvature at different times and employs a Ricci flow iterative process to obtain a weight system. This system ensures that the edges of the weighted road network have the same value of Olivier Ricci curvature. The method also calculates the direction and degree of weight change for each edge corresponding to road-sections, setting a threshold to extract key road-sections. This innovative approach addresses the limitations of existing methods that do not fully consider the actual distribution and transmission characteristics of traffic flow.
Career Highlights
Zelie Zhang has worked at notable institutions, including Central South University and the Chongqing Geomatics and Remote Sensing Center. His experience in these organizations has allowed him to develop and refine his innovative methods for traffic analysis.
Collaborations
Zhang has collaborated with esteemed colleagues such as Zezhong Ma and Yi Ding. Their combined expertise has contributed to the advancement of research in traffic flow detection.
Conclusion
Zelie Zhang's innovative work in traffic flow detection exemplifies the importance of integrating real-world data into analytical methods. His contributions are paving the way for more effective traffic management solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile