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Granulometric Distribution and Crowds of Groups: Focusing on Dyads

In: Traffic and Granular Flow '15

Author

Listed:
  • Andrea Gorrini

    (CSAI Research Center, University of Milano-Bicocca, Department of Informatics, Systems and Communication)

  • Giuseppe Vizzari

    (CSAI Research Center, University of Milano-Bicocca, Department of Informatics, Systems and Communication)

  • Stefania Bandini

    (CSAI Research Center, University of Milano-Bicocca, Department of Informatics, Systems and Communication
    RCAST, The University of Tokyo)

Abstract

PedestrianGorrini, Andrea flows are characterised byVizzari, Giuseppe the preponderant presenceBandini, Stefania of groups, with particular reference to dyads. The paper presents a research focused on group and age-driven pedestrian behaviour in an urban crowded scenario. Data analysis was performed by using an open source tracker tool. Results showed that in situation of irregular flows (LOS B) dyads walked 30 % slower than singles, and that elderly walked 40 % slower than adults. The achieved results have been used towards the validation of the simulation platform ELIAS 38, with reference to the representation of the granulometric distribution of groups and heterogeneous speed profiles.

Suggested Citation

  • Andrea Gorrini & Giuseppe Vizzari & Stefania Bandini, 2016. "Granulometric Distribution and Crowds of Groups: Focusing on Dyads," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 273-280, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_35
    DOI: 10.1007/978-3-319-33482-0_35
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