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LFCS seminar: Shan Lin: MPC for Urban Transportation Systems

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Shan Lin, Deaprtment of ECE, Stony Brook University

  • LFCS Seminar
When Jun 05, 2015
from 10:30 AM to 11:30 AM
Where IF 2.33
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Abstract: In this talk, I will discuss our research on real-time collaborative sensing, modeling, data analysis, and model predictive control for urban transportation systems, especially taxi networks.  Our goal is to significantly enhance the efficiency of existing transportation systems.  Traditional transportation systems are usually based on limited, isolated, and rough grained knowledge about human mobility patterns.  For example, taxi networks heavily rely on drivers' experience to look for passengers on the street.  As sensing devices (GPS, occupancy sensors, cameras, and smart transit cards etc) are deployed pervasively into these transportation systems, large amount of real-time human mobility information become available.  Such data sets not only reveal the spatiotemporal dynamics of the human mobility, but also indicate the correlations among various urban phenomena.  

Bio: Dr. Shan Lin received his PhD degree in computer science from the University of Virginia in 2010. He is currently an assistant professor of the electrical and computer engineering department at Stony Brook University. Dr. Lin's primary research interests are in the areas of cyber physical systems, networked information systems, and wireless networks. <>

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