Dr. Wei Lin, Professor of Systems and Industrial Engineering, University of Arizona
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https://arizona.zoom.us/j/89587088470?from=addon#success
Summary: Over the past three decades, numerous transportation initiatives have emerged, ranging from smart roads to automated highway systems (AHS) and self-driving vehicles. In this talk, we examine the similarities and differences among these initiatives and draw lessons from them to assess new opportunities for leveraging cutting-edge information and communication technologies to make our transportation systems more efficient.
With the rapid advancement of artificial intelligence, interaction has become a defining feature of AI and is now embedded in many applications. We present a self-organizing framework designed to facilitate interaction between individual vehicles and system-level control, with the goal of improving transportation efficiency through cost reduction and increased throughput, while also ensuring privacy, fairness, and equity.
Biography: Dr. Wei Lin is a Professor of Systems and Industrial Engineering at the University of Arizona. He received his PhD in Civil Engineering from the University of California at Berkeley. He has worked as a postdoctoral researcher at the PATH program of the University of California at Berkeley. He is the past paper review coordinator for the Intelligent Transportation Systems Committee of Transportation Research Board, National Research Council, and is currently the associate editor of IEEE Transaction on Intelligent Transportation Systems. He is the author/coauthor of over 70 papers and his research areas cover traffic control, logistics systems analysis, and network optimization.