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Data-Driven Characterisation of Multidirectional Pedestrian Traffic

In: Traffic and Granular Flow '15

Author

Listed:
  • Marija Nikolić

    (École Polytechnique Fédérale de Lausanne, Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering)

  • Michel Bierlaire

    (École Polytechnique Fédérale de Lausanne, Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering)

  • Flurin Hänseler

    (École Polytechnique Fédérale de Lausanne, Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering)

Abstract

We propose theNikolić, Marija framework for pedestrianBierlaire, Michel traffic characterisation that is derived byHänseler, Flurin 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.

Suggested Citation

  • Marija Nikolić & Michel Bierlaire & Flurin Hänseler, 2016. "Data-Driven Characterisation of Multidirectional Pedestrian Traffic," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 43-47, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_6
    DOI: 10.1007/978-3-319-33482-0_6
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