This inventor holds 1 USPTO granted patent. Top assignee: University of Southern California. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Linhong Zhu: Innovating Traffic Prediction
Introduction
Linhong Zhu is a prominent inventor based in Los Angeles, California. He has made significant contributions to the field of traffic prediction through his innovative work. His sole patent addresses the complexities of road network traffic dynamics.
Latest Patents
Linhong Zhu holds a patent titled "Latent Space Model for Road Networks to Predict Time-Varying Traffic." This groundbreaking method strategies to enhance traffic predictions by analyzing past traffic data from various locations on a road network. The process involves determining both temporal and spatial characteristics of traffic information to facilitate accurate traffic predictions for future times. Furthermore, this method continually updates its predictions with newly detected traffic data, thereby ensuring relevance and accuracy in real-time applications.
Career Highlights
Linhong Zhu is affiliated with the University of Southern California, where he has been able to collaborate and innovate within a leading research environment. His expertise in traffic systems and data analytics positions him as a key figure in his department and the broader field of urban traffic management.
Collaborations
Throughout his career, Linhong has collaborated with notable colleagues, including Ugur Demiryurek and Dingxiong Deng. Together, they work on advancing research in complex traffic systems and data-driven solutions, contributing to improvement in urban mobility and efficiency.
Conclusion
Linhong Zhu's innovative approach to traffic prediction not only enhances our understanding of traffic dynamics but also plays a critical role in urban planning and infrastructure development. With his patent and collaborations at the University of Southern California, he continues to pave the way for future advancements in managing road networks effectively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
