Company Filing History:
Years Active: 2020
Title: Innovations of Shaopeng Zhong in Urban Traffic Management
Introduction
Shaopeng Zhong is a notable inventor based in Dalian, China. He has made significant contributions to the field of urban traffic management through his innovative methods for estimating road travel time. With a total of 2 patents, his work focuses on improving the accuracy and efficiency of traffic systems.
Latest Patents
Zhong's latest patents include a "Method for estimating road travel time based on built environment and low-frequency floating car data." This method utilizes the built environment as an explanatory variable for road travel time, demonstrating its interpretability through numerical examples. It also determines distribution parameters of road travel time using vehicle number distribution rather than distance. The benefits of this method include explaining the positive impact of the built environment on travel time and reflecting speed differences among various road sections, thereby enhancing the precision of travel time estimates.
Another significant patent is the "Method for estimating distribution of urban road travel time in considering operation state of taxi." This invention addresses the estimation of path travel time distributions based on different operational states of taxis. By incorporating a Markov model, it describes the correlation of travel time distributions between adjacent road sections, increasing the scientific accuracy of the results. The model, validated with data from Shenzhen, shows improved accuracy in travel time distribution functions when considering the operational states of taxis.
Career Highlights
Shaopeng Zhong is affiliated with Dalian University of Technology, where he continues to advance research in urban transportation planning and management. His innovative approaches have garnered attention in the academic and professional communities.
Collaborations
Zhong has collaborated with notable colleagues, including Haimin Jun and Kun Wang, contributing to the advancement of urban traffic management technologies.
Conclusion
Shaopeng Zhong's innovative methods and patents significantly enhance the understanding and management of urban traffic systems. His work exemplifies the importance of integrating environmental factors and operational states in traffic estimation models.