Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Group

  • Luca CrocianiEmail author
  • Andrea Gorrini
  • Claudio Feliciani
  • Giuseppe Vizzari
  • Katsuhiro Nishinari
  • Stefania Bandini
Conference paper


Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro- and macro-level original analyses on data characterising pedestrian behaviour in the presence of counterflows and grouping, in particular dyads, acquired through controlled experiments. Results suggest that the presence of dyads and their tendency to walk in a line-abreast formation influences the formation of lanes and, in turn, aggregated observables, such as overall specific flow.


  1. 1.
    Bandini, S., Crociani, L., Gorrini, A., Vizzari, G.: An agent-based model of pedestrian dynamics considering groups: a real world case study. In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 572–577. IEEE, Qingdao (2014)Google Scholar
  2. 2.
    Bandini, S., Gorrini, A., Vizzari, G.: Towards an integrated approach to crowd analysis and crowd synthesis: a case study and first results. Pattern Recogn. Lett. 44, 16–29 (2014)CrossRefGoogle Scholar
  3. 3.
    Boltes, M., Seyfried, A.: Collecting pedestrian trajectories. Neurocomputing 100, 127–133 (2013)CrossRefGoogle Scholar
  4. 4.
    Chraibi, M., Seyfried, A., Schadschneider, A.: Generalized centrifugal-force model for pedestrian dynamics. Phys. Rev. E 82(4), 46111 (2010)CrossRefGoogle Scholar
  5. 5.
    Feliciani, C., Nishinari, K.: Empirical analysis of the lane formation process in bidirectional pedestrian flow. Phys. Rev. E 94(3), 032304 (2016)CrossRefGoogle Scholar
  6. 6.
    Feliciani, C., Nishinari, K.: Estimation of pedestrian crowds’ properties using commercial tablets and smartphones. Transportmetrica B 7(1), 865–896 (2019)Google Scholar
  7. 7.
    Gorrini, A., Crociani, L., Feliciani, C., Zhao, P., Nishinari, K., Bandini, S.: Social groups and pedestrian crowds: experiment on dyads in a counter flow scenario (2016). Preprint. arXiv:1610.08325Google Scholar
  8. 8.
    Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., Theraulaz, G.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS One 5(4), e10047 (2010)CrossRefGoogle Scholar
  9. 9.
    Tordeux, A., Zhang, J., Steffen, B., Seyfried, A.: Quantitative comparison of estimations for the density within pedestrian streams. J. Stat. Mech: Theory Exp. 2015(6), P06030 (2015)MathSciNetCrossRefGoogle Scholar
  10. 10.
    von Krüchten, C., Schadschneider, A.: Empirical study on social groups in pedestrian evacuation dynamics. Phys. A: Stat. Mech. Appl. 475, 129–141 (2017)CrossRefGoogle Scholar
  11. 11.
    Zanlungo, F., Ikeda, T., Kanda, T.: Potential for the dynamics of pedestrians in a socially interacting group. Phys. Rev. E 89(1), 012811 (2014)CrossRefGoogle Scholar
  12. 12.
    Zeng, Y., Crociani, L., Gorrini, A., Vizzari, G., Song, W.: Investigating the effect of social groups in uni-directional pedestrian flow. In: Hamdar, S.H. (ed.) Traffic and Granular Flow ’17, Springer, Cham (2019). Google Scholar
  13. 13.
    Zhang, J., Klingsch, W., Schadschneider, A., Seyfried, A.: Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram. J. Stat. Mech. (02), 9 (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Luca Crociani
    • 1
    Email author
  • Andrea Gorrini
    • 1
  • Claudio Feliciani
    • 2
  • Giuseppe Vizzari
    • 1
  • Katsuhiro Nishinari
    • 2
  • Stefania Bandini
    • 3
  1. 1.CSAI Research CenterUniversity of Milano-BicoccaMilanItaly
  2. 2.The University of TokyoTokyoJapan
  3. 3.The University of TokyoTokyoJapan

Personalised recommendations