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Investigating the Effect of Social Groups in Uni-directional Pedestrian Flow

In: Traffic and Granular Flow '17

Author

Listed:
  • Luca Crociani

    (University of Milano-Bicocca, CSAI Research Center)

  • Yiping Zeng

    (University of Science and Technology of China, State Key Laboratory of Fire Science)

  • Andrea Gorrini

    (University of Milano-Bicocca, CSAI Research Center)

  • Giuseppe Vizzari

    (University of Milano-Bicocca, CSAI Research Center)

  • Weiguo Song

    (University of Science and Technology of China, State Key Laboratory of Fire Science)

Abstract

The influence of cohesion among members of dyads is investigated in scenarios characterized by uni-directional flow by means of a discrete model: a corridor and the egress from a room with a bottleneck of varying width are simulated. The model manages the dynamics of simulated group members with an adaptive mechanism, balancing the probability of movement according to the dispersion of the group; the cohesion mechanism is calibrated through the parameters κ c and δ. All scenarios are simulated with two procedures: (Proc. 1) population composed of individual pedestrians, in order to validate the simulation model and to provide baseline data; (Proc. 2) population including dyads (50% of the simulated pedestrians), in order to verify their impact. In the corridor scenario, the presence of dyads causes a reduction of the velocities and specific flow at medium-high densities. Egress from a square room with a unique central exit produces results in line with recent studies in the literature, but also shows that the dyads negatively affect the dynamics, leading generally to a slower walking speed and a lower pedestrian flow. Ignoring the presence of dyads would lead to an overestimation of egress flows.

Suggested Citation

  • Luca Crociani & Yiping Zeng & Andrea Gorrini & Giuseppe Vizzari & Weiguo Song, 2019. "Investigating the Effect of Social Groups in Uni-directional Pedestrian Flow," Springer Books, in: Samer H. Hamdar (ed.), Traffic and Granular Flow '17, pages 205-213, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-11440-4_24
    DOI: 10.1007/978-3-030-11440-4_24
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