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Simulations of Synchronized Flow in TomTom Vehicle Data in Urban Traffic with the Kerner-Klenov Model in the Framework of the Three-Phase Traffic Theory

In: Traffic and Granular Flow '13

Author

Listed:
  • Gerhard Hermanns

    (University of Duisburg-Essen)

  • Igor N. Kulkov

    (University of Duisburg-Essen)

  • Peter Hemmerle

    (Daimler AG)

  • Hubert Rehborn

    (Daimler AG)

  • Micha Koller

    (IT-Designers GmbH)

  • Boris S. Kerner

    (University of Duisburg-Essen)

  • Michael Schreckenberg

    (University of Duisburg-Essen)

Abstract

In this article, we describe our simulations of TomTom probe vehicle data measured in city traffic. An analysis of the vehicle trajectories in the TomTom data reveals the typical features of the traffic phases as defined in Kerner’s three-phase traffic theory: free flow, synchronized flow and wide moving jam (moving queues). The existence of the synchronized flow phase has previously been found within traffic data from highways, but not within data from urban road networks. We will show that the microscopic simulation of vehicular traffic with the stochastic Kerner-Klenov model on a multi-lane urban road stretch reproduces the synchronized flow found in the TomTom data.

Suggested Citation

  • Gerhard Hermanns & Igor N. Kulkov & Peter Hemmerle & Hubert Rehborn & Micha Koller & Boris S. Kerner & Michael Schreckenberg, 2015. "Simulations of Synchronized Flow in TomTom Vehicle Data in Urban Traffic with the Kerner-Klenov Model in the Framework of the Three-Phase Traffic Theory," Springer Books, in: Mohcine Chraibi & Maik Boltes & Andreas Schadschneider & Armin Seyfried (ed.), Traffic and Granular Flow '13, edition 127, pages 563-569, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10629-8_63
    DOI: 10.1007/978-3-319-10629-8_63
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