Data-Driven Characterisation of Multidirectional Pedestrian Traffic

  • Marija Nikolić
  • Michel Bierlaire
  • Flurin Hänseler
Conference paper
First Online:

Abstract

We propose the framework for pedestrian traffic characterisation that is derived by extending Edie’s definitions through a data-driven discretisation. The discretisation framework is based on three-dimensional Voronoi diagrams in order for the characterisation to be as independent as possible from an arbitrarily chosen aggregation. It can be designed through the utilisation of pedestrian trajectories described either analytically or as a sample of points.

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References

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    Steffen, B., Seyfried, A.: Methods for measuring pedestrian density, flow, speed and direction with minimal scatter. Phys. A Stat. Mech. Appl. 389(9), 1902–1910 (2010)CrossRefGoogle Scholar
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Marija Nikolić
    • 1
  • Michel Bierlaire
    • 1
  • Flurin Hänseler
    • 1
  1. 1.Transport and Mobility Laboratory, School of Architecture, Civil and Environmental EngineeringÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland

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