Junyi Ji
I am a PhD candidate in Civil Engineering and the Institute for Software Integrated Systems at Vanderbilt University, under the guidance of Professor Dan Work. During my PhD, I am dedicated to the I-24 MOTION testbed, a living freeway testbed generating the world's largest traffic trajectory data.
My current research focuses on understanding the multi-scale dynamics of freeway systems, with particular emphasis on the critical phenomena of stop-and-go waves. I am also working closely with Professor Benedetto Piccoli on traffic theory and Professor Jonathan Sprinkle on vehicle automation and connectivity.
My long-term research vision is to integrate computational methods and CPS technology with transportation to create a sustainable system aligned with the UN Sustainable Development Goals (SDGs). I am a strong advocate of open science and have initiated efforts in open traffic science.
Representative Publications
Scalable stop-and-go waves analysis: Representation, measurements and insights
Junyi Ji, Derek Gloudemans, Yanbing Wang, Gergely Zachár, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work.
Under review.
Stop-and-go wave super-resolution reconstruction via iterative refinement
Junyi Ji, Alex Richardson, Derek Gloudemans, Gergely Zachár, Matthew Nice, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Daniel B Work
Under review.
I-24 MOTION: An instrument for freeway traffic science
Derek Gloudemans, Yanbing Wang, Junyi Ji, Gergely Zachar, Will Barbour, Eric Hall, Meredith Cebelak, Lee Smith, Daniel B. Work,.
Transportation Research Part C: Emerging Technologies, 2023, 155:104311.
The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets
Chengcheng Xu, Junyi Ji, Pan Liu.
Transportation Research Part C: Emerging Technologies, 2018, 95:47-60.
Contact me
Email: junyi.ji@vanderbilt.edu
Address: 1025 16th Ave S, Nashville, TN, United States