Granulometric Distribution and Crowds of Groups: Focusing on Dyads

Andrea Gorrini (), Giuseppe Vizzari () and Stefania Bandini ()
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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

A chapter in Traffic and Granular Flow '15, 2016, pp 273-280 from Springer

Abstract: 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.

Date: 2016
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DOI: 10.1007/978-3-319-33482-0_35

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