Real-Time Traffic Estimation in Munich: The Dynamic Network Model DINO
Speaker: Dr Filippo Logi, Technical University of Munich,
Germany


Domain

Explanation

Abstract

  • This presentation reports on the application of dynamic traffic
    > modelling techniques for the estimation of traffic conditions in a
    > real-world context. Within the R&D MOBINET project, a real-time
    > system called DINO, is currently under development for the dynamic
    > estimation of traffic conditions on the very dense network of the
    > Munich metropolitan area. Estimated traffic conditions are used by
    > transportation management operators and transmitted to private
    > information providers. The presentation describes the challenges
    > identified within the development process, mostly of practical nature,
    > and the solutions adopted so far to address them. Emphasis is placed
    > on the modified entropy-maximization algorithm for the time-varying
    > estimation of origin-destination matrices and the dynamic traffic
    > assignment process
    which results in the modelled link data.

Biography

  • Dr Filippo Logi has been a researcher at the Technical University of
    > Munich in Germany since 1999. He received a Bachelor Degree in
    > Computer Science from the University of Pisa, Italy, in 1991. He
    > served as a teacher of Microprocessors and Input/Output Interfaces at
    > the ITIS Technical High School in Livorno, Italy. In 1992-93 he was
    > visiting-scientist at the FZI-Computer Science Research Center at the
    > University of Karlsruhe in Germany. He obtained his Master of Science
    > degree (1995) and PhD degree (1999) in Transportation Systems
    > Engineering at the University of California, Irvine. He has been a
    > researcher at the Technical University of Munich (TUM) in Germany
    > since 1999. He is currently with the Department of Transport Planning
    > and Technology (Fachgebiet Verkehrstechnick und Verkehrsplanung) at
    > TUM. His research interests include dynamic traffic modeling and
    > distributed architectures for cooperative transport management.

 

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