This inventor holds 1 USPTO granted patent. Top assignee: Nanjing Normal University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Zhenjun Yan: Innovator in Traffic Flow Simulation
Introduction
Zhenjun Yan is a notable inventor based in Jiangsu, China. He has made significant contributions to the field of traffic flow simulation through his innovative patent. His work focuses on utilizing quantum mechanics to enhance the understanding of traffic dynamics.
Latest Patents
Zhenjun Yan holds a patent titled "Method for simulating stochastic oscillation in individual-granularity long-distance expressway traffic flow using quantum harmonic oscillator." This invention presents a novel approach to simulating traffic volume by describing vehicle speed and position through a quantum superposition state. The method constructs an energy eigenequation of the quantum harmonic oscillator to represent vehicle movement. It further develops an n-order Hermite polynomial based on this equation, creating a model that simulates stochastic oscillation in long-distance traffic flow. The invention also establishes a mapping mechanism between probability and traffic volume, making it easier to model complex traffic scenarios.
Career Highlights
Zhenjun Yan is affiliated with Nanjing Normal University, where he continues to engage in research and development in the field of traffic simulation. His academic background and innovative mindset have positioned him as a key figure in this area of study.
Collaborations
Zhenjun Yan has collaborated with notable colleagues, including Zhaoyuan Yu and Jiyi Zhang. Their combined expertise contributes to advancing research in traffic flow modeling and simulation.
Conclusion
Zhenjun Yan's innovative work in traffic flow simulation using quantum mechanics represents a significant advancement in understanding complex traffic systems. His contributions are valuable for future research and practical applications in traffic management.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile