Congestion Reduction via Personalized Incentives
This webinar will discuss research on developing real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers. The research team proposes to exploit the wide accessibility of smart communication devices and develop a real-time look-ahead incentive-offering mechanism using individuals' routing and aggregate traffic information. The researchers theoretically show the convergence of the proposed distributed algorithm under a mild set of assumptions that are verified with real data.
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Meisam Razaviyayn is an assistant professor of Industrial and Systems Engineering with courtesy appointments at the Electrical and Engineering Department and the Computer Science Department at USC. His research interests include the design and analysis of large-scale optimization algorithms arising in modern data science era.
Ali Ghafelebashi is a third-year Ph.D. student at USC. He obtained his B.S. in Industrial Engineering from the Amirkabir University of Technology in 2018. He was granted the FOE (Faculty of Engineering) prize for the 1st GPA at the Department of Industrial Engineering for three-year sequence. Ali’s research interests lay in optimization and transportation.