New Opportunities for Interactions between Individual Drivers and Traffic Control in the AI World
September 3, 2021
12 PM – 1 PM EST
For the past three decades or so, many major initiatives have been launched in the field of transportation, from smart roads to smart cities and automated highway systems to self-driving vehicles. In this talk, we identify the similarities and differences of those initiatives and draw lessons from them for assessing the new opportunities in utilizing the cutting-edge technology in information and communication to achieve better efficiency in our transportation system. In the AI world, “interaction” is the key feature and has been incorporated into many systems. We discuss from the system’s perspective how the interaction between individual vehicles and system control can be realized to improve the efficiency of a transportation system in terms of cost reduction and increase in system throughput while at the same time protect privacy and ensure fairness.
Wei-Hua Lin, PhD, is a professor of Systems and Industrial Engineering at the University of Arizona. He received his PhD in Civil Engineering from 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. He is currently the associate editor of IEEE Transaction on Intelligent Transportation Systems. He is the author/coauthor of over 70 papers. His research area covers traffic control, logistics systems analysis, and network optimization.