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Prediction of Moving Bottleneck and Associated Traffic Phenomena for Automated Driving

  • Dominik WegerleEmail author
  • Boris S. Kerner
  • Sergey L. Klenov
  • Michael Schreckenberg
Conference paper

Abstract

A slow driving vehicle within traffic flow is considered as a moving bottleneck (MB). In this paper, we present simulations made with a microscopic stochastic flow model with a moving bottleneck in the framework of the three-phase theory by Kerner. The goal is to predict traffic phenomena that may occur if traffic breakdown is realized at the moving bottleneck. Considered is a traffic flow in which different percentages of probe vehicles are randomly distributed, which send their position and their speed each second (simFCD). We investigate what percentage of probe vehicles is necessary to reliably detect a moving bottleneck and predict its motion.

Notes

Acknowledgements

The authors thank the partners for their support within the project “MEC-View—Mobile Edge Computing basierte Objekterkennung für hoch- und vollautomatisiertes Fahren”, funded by the German Federal Ministry of Economics and Energy by resolution of the German Federal Parliament.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Dominik Wegerle
    • 1
    Email author
  • Boris S. Kerner
    • 1
  • Sergey L. Klenov
    • 2
  • Michael Schreckenberg
    • 1
  1. 1.Physics of Transport and TrafficUniversity of Duisburg-EssenDuisburgGermany
  2. 2.Department of PhysicsMoscow Institute of Physics and TechnologyMoscowRussia

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