Resolving Phantom Traffic Jams with CAV controllers — CCAT Research Review Ep. 10

Sam Labi, Ph.D. and Yujie Li, CCAT researchers at Purdue University, joined the CCAT Research Review to discuss their 2020 research project 'Development of AI-Based and Control-Based Systems for Safe and Efficient Operations of Connected and Autonomous Vehicles'.

Dive into this research: https://myumi.ch/DEZmZ
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Timestamps:
Presentation: 00:20
Q&A: 23:20
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Connect with the CCAT Team:
Sam Labi, Ph.D.:   / sam-labi-794ab115  
Yujie Li:   / yujie-li-673251191  
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About the speakers:
Dr. Samuel Labi is a Professor at Purdue University’s Lyles School of Civil Engineering and the Associate Director of CCAT. He has authored two textbooks used in a number of universities worldwide: Transportation Decision Making and Introduction to Civil Engineering Systems. His research awards include TRB’s Woods and Mickel Award and ASCE’s Masters Award for outstanding and innovative work that advances transport systems. Dr. Labi is an associate editor for Computer-Aided Civil & Infrastructure Engineering, the Journal of Risk and Uncertainty in Engineering Systems, and the Journal of Infrastructure Systems. He is the chair of ASCE’s Economics & Finance committee and serves as a PI for five CCAT projects that address CAV human factors, driving simulation, infrastructure preparation, economics and finance, and operations modelling.

Yujie Li is a Ph.D. student at Lyles School of Civil Engineering, Purdue University, and a graduate researcher at CCAT. She earned her B.S. degree from Southeast University, China. Yujie’s research interests include artificial intelligence, machine learning, and control systems applications for connected and autonomous vehicle (CAV) operations and modelling. Her current research focuses on controller design for CAVs as well as human factors and driving simulation in traffic environments with CAVs.

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