Abstract
Pedestrian flows are characterised by the preponderant presence 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.
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The functions Filter Perspective and Filter Resize allowed to achieve a zenith perspective of the images and to maintain the proportion of the area adjusting the pixels. The function Origin of the Axes allowed to fix the origin of an orthogonal plane. The dimensions of the plane were calibrated by using a Calibration Stick, according to available spatial references. The function Point Mass allowed to manually track pedestrians, considering the space in between their feet (we did not use the position of their heads due to the image distortion).
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60 % single males and 40 % single females. 25 % male-male dyads, 25 % female-female dyads, 50 % mixed gender. 58 % pedestrians from South to North, 42 % from North to South. Pedestrians who stopped were not tracked, as well as mixed age dyads.
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All statistics hereby presented were conducted at the p < 0.05 level.
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Acknowledgements
The Italian policy was consulted and complied in order to exceed the ethical issues about the privacy of the people recorded without their consent. The authors thank Claudia Prosperi, Nami Avento and Luca Crociani of the CSAI research centre for their fruitful contributions in data collection and analysis.
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Gorrini, A., Vizzari, G., Bandini, S. (2016). Granulometric Distribution and Crowds of Groups: Focusing on Dyads. In: Knoop, V., Daamen, W. (eds) Traffic and Granular Flow '15. Springer, Cham. https://doi.org/10.1007/978-3-319-33482-0_35
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DOI: https://doi.org/10.1007/978-3-319-33482-0_35
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