Cyber-Physical Systems for Smart Cities: a Mobility Perspective
Prof. Desheng ZHANGAssistant Professor, Department of Computer Science, Rutgers University
Abstract
For the first time ever, we have more people living in urban areas than in rural areas. Based on this inevitable urbanization, the research in our group aims to address sustainability challenges related to urban mobility (e.g., energy consumption and traffic congestion) by data-driven applications with a Cyber-Physical-Systems approach (CPS, also known as a broader term for the Internet of Things). Under the context of the smart cities initiative proposed by the White House, in this talk, I will focus on data-driven modeling and applications for large-scale cross-domain urban systems, e.g., taxi, bus, subway, private vehicle, truck,cellphone, and smart payment systems. I will first show how cross-domain data from these systems can be collaboratively utilized to capture urban mobility in real time by a new technique called multi-view bounding, which addresses overfitting issues of existing mobility models driven by single-domain data. Then I will show how the captured real-time mobility can be used to design a practical service, i.e., mobility-driven ridesharing, to provide positive feedback to urban systems themselves, e.g., reducing energy consumption and traffic congestion. Finally, I will present some research challenges related to future urban CPS in the context of the smart cities research.
Biography
Desheng Zhang is an Assistant Professor at the Department of Computer Science at Rutgers University. Previously, he was offered the Senseable City Consortium Postdoctoral Fellowship from MIT and awarded his Ph.D. in Computer Science from the University of Minnesota. His research is uniquely built upon 100 TB urban data from 10 kinds of cross-domain urban systems, including cellphone, smartcard, taxi, bus, truck, subway, bike, personal vehicle, electric vehicle, and road networks in 8 cities across 3 continents with 100 million urban residents involved. Desheng designs and implements large-scale data-driven models and real-world services to address urban sustainability challenges. Desheng has published more than 60 papers in premium Computer Science venues, e.g., MobiCom, UbiComp, SenSys, IPSN, ICCPS, SIGSPATIAL, ICDCS, RTSS, BIGDATA and 6 best paper/thesis/poster awards.