GPS data analysis: Travel time estimation in sparse data environments

- Dimitrios Gunopulos, National and Kapodistrian University of Athens

PARIS (CEST) Brisbane (GMT+10) Beijing (GMT+8) New York (EDT) Seattle (PDT)
12:00 - 13:05 20:00 - 21:05 18:00 - 19:05 6:00 - 7:05 3:00 - 4:05

Session chair: Goce Trajcevski


Human urban trajectory data collected from GPS-enabled mobile devices or vehicles are extensively used in several applications such as urban planning, traffic management, location based services. We descrtibe several GPS trajectory data analysis problems that comeup in such settings including the problem of accurate, automatic map creation from GPS trajectories, and the problem of identifying travel patterns. We focus on the problem of estimating, in real time, the vehicle travel time along a given path. We describe a novel technique for combining historical data information and real-time data observations that are collected from a small number of floating cars.


Dimitrios Gunopulos got his PhD from Princeton University in 1995. He has held positions as a Postdoc at the Max-Planck-Institut for Informatics, Researcher at the IBM Almaden Research Center, Visiting Researcher at the University of Helsinki, Professor at the Department of Computer Science and Engineering in the University of California Riverside, Professor in the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, and Visiting Researcher, Microsoft Silicon Valley Research Center. His research is in the areas of Smartcities, Big Data, Data Mining, Databases, Sensor and Peer-to-Peer networks, Algorithms and Computational Geometry. He has co-authored over two hundred journal and conference papers that have been widely cited(h-index 72). His research has been supported by NSF (including an NSF CAREER award), the DoD, the Institute of Museum and Library Services, the Tobacco Related Disease Research Program, the European Commission, the General Secretariat of Research and Technology, AT&T, Nokia, a Yahoo FREP Award and a Google Faculty Award. He has served as a General co-Chair in SIAM SDM 2018, SIAM SDM 2017, HDMS 2011, and IEEE ICDM 2010 and as a PC co-Chair in ICDE 2020, ECML/PKDD 2011, IEEE ICDM 2008, ACM SIGKDD 2006, and SSDBM 2003.