Microscopic traffic model serves as the foundation of traffic flow theory and is the basis for applications such as traffic simulation, autonomous vehicle simulation, and digital twin technology.
Dr. HongSheng QI received his B.E. and M.E. degrees in Traffic Engineering from Jilin University in 2006 and 2008, respectively, and his Ph.D. degree in Transportation Engineering from Jilin University in 2011. He then completed a postdoctoral research position at Zhejiang University. Since 2014, Dr. QI has been employed as Assistant Professor and, later, Associate Professor at the College of Civil Engineering and Architecture at Zhejiang University.Dr. QI's research focuses on the areas of traffic flow theory, traffic control, and data-driven traffic analysis. Since 2008, he has published over 60 peer-reviewed English papers in international journals and conferences. He currently serves as Committee Member of the World Transportation Convention (WTC), editorial board member of journal of social computing, editorial board member of CAAI Artificial Intelligence Research, and as Reviewer for several international journals. In 2021 and 2022, he was awarded the Excellent Paper Award at the World Transportation Convention. Additionally, he has been granted three US patents.
Innehållsförteckning
Noise reduction filtering and behavioral estimation for human driven vehicles.- Predictability analysis of driving behavior.- Two dimensional stochastic microscopic traffic model for human driven vehicles.- Two dimensional driving behavioral model considering vehicle dynamics.- Stochastic two dimensional microscopic driving model for intelligent vehicles.- Risky driving behavior with two dimensional jerk and wandering.- Capacity adjustment factor considering lateral influence for multi lane road.- Real time estimation of driving behaviors.- Stochastic lateral wandering of progressive autonomous vehicles flow.- Test scenario generation for autonomous vehicles considering the predictability.