Literature DB >> 24580285

Potential for the dynamics of pedestrians in a socially interacting group.

Francesco Zanlungo1, Tetsushi Ikeda1, Takayuki Kanda1.   

Abstract

We introduce a simple potential to describe the dynamics of the relative motion of two pedestrians socially interacting in a walking group. We show that the proposed potential, based on basic empirical observations and theoretical considerations, can qualitatively describe the statistical properties of pedestrian behavior. In detail, we show that the two-dimensional probability distribution of the relative distance is determined by the proposed potential through a Boltzmann distribution. After calibrating the parameters of the model on the two-pedestrian group data, we apply the model to three-pedestrian groups, showing that it describes qualitatively and quantitatively well their behavior. In particular, the model predicts that three-pedestrian groups walk in a V-shaped formation and provides accurate values for the position of the three pedestrians. Furthermore, the model correctly predicts the average walking velocity of three-person groups based on the velocity of two-person ones. Possible extensions to larger groups, along with alternative explanations of the social dynamics that may be implied by our model, are discussed at the end of the paper.

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Mesh:

Year:  2014        PMID: 24580285     DOI: 10.1103/PhysRevE.89.012811

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

1.  Mesoscopic interactions and species coexistence in evolutionary game dynamics of cyclic competitions.

Authors:  Hongyan Cheng; Nan Yao; Zi-Gang Huang; Junpyo Park; Younghae Do; Ying-Cheng Lai
Journal:  Sci Rep       Date:  2014-12-15       Impact factor: 4.379

2.  Intrinsic group behaviour: Dependence of pedestrian dyad dynamics on principal social and personal features.

Authors:  Francesco Zanlungo; Zeynep Yücel; Dražen Brščić; Takayuki Kanda; Norihiro Hagita
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

3.  Estimating density limits for walking pedestrians keeping a safe interpersonal distancing.

Authors:  I Echeverría-Huarte; A Garcimartín; R C Hidalgo; C Martín-Gómez; I Zuriguel
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

4.  Effects of Switching Behavior for the Attraction on Pedestrian Dynamics.

Authors:  Jaeyoung Kwak; Hang-Hyun Jo; Tapio Luttinen; Iisakki Kosonen
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

5.  Identification of social relation within pedestrian dyads.

Authors:  Zeynep Yucel; Francesco Zanlungo; Claudio Feliciani; Adrien Gregorj; Takayuki Kanda
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

6.  Intrinsic group behaviour II: On the dependence of triad spatial dynamics on social and personal features; and on the effect of social interaction on small group dynamics.

Authors:  Francesco Zanlungo; Zeynep Yücel; Takayuki Kanda
Journal:  PLoS One       Date:  2019-12-03       Impact factor: 3.240

7.  Monitoring physical distancing for crowd management: Real-time trajectory and group analysis.

Authors:  Caspar A S Pouw; Federico Toschi; Frank van Schadewijk; Alessandro Corbetta
Journal:  PLoS One       Date:  2020-10-29       Impact factor: 3.240

  7 in total

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