Advertisement

Simulating Pedestrians’ Motion in Different Scenarios with Modified Social Force Model

  • Karolina TytkoEmail author
  • Maria MamicaEmail author
  • Agnieszka PękalaEmail author
  • Jarosław WąsEmail author
Conference paper
  • 273 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12044)

Abstract

A model created by Helbing, Molnar, Farkas and Vicsek [1] in the beginning of 21st century considers each agent in pedestrian movement as separate individual who obeys Newton’s laws. The model has been implemented and simulated by numbers of different authors who proved its reliability through realism of agents’ behaviour. To describe the motion as accurately as possible, many of them modified it by presenting their own approach of used formulas and parameters. In this work, authors consider combination of various model modifications as well as present adequate factors values, which allows to observe correct, consistent simulation of different evacuation scenarios and to track changes of Crowd Pressure in subsequent stages of visualization, depending on used exit design.

Keywords

Crowd Pressure Social Force Model Pedestrian dynamics 

References

  1. 1.
    Helbing, D., Farkas, I., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations, vol. 21, pp. 21–58, January 2002Google Scholar
  2. 2.
    Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E 51 (1998).  https://doi.org/10.1103/PhysRevE.51.4282
  3. 3.
    Helbing, D., Molnar, P., Farkas, I., Bolay, K.: Self-organizing pedestrian movement. Environ. Plann. B Plann. Design 28, 361–383 (2001).  https://doi.org/10.1068/b2697CrossRefGoogle Scholar
  4. 4.
    Kirchner, A., Nishinari, K., Schadschneider, A.: Friction effects and clogging in a cellular automaton model for pedestrian dynamics. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 67, 056122 (2003).  https://doi.org/10.1103/PhysRevE.67.056122CrossRefGoogle Scholar
  5. 5.
    Lakoba, T., Kaup, D., Finkelstein, N.: Modifications of the Helbing-Molnár-Farkas-Vicsek social force model for pedestrian evolution. Simulation 81, 339–352 (2005).  https://doi.org/10.1177/0037549705052772CrossRefGoogle Scholar
  6. 6.
    Moussaïd, M., Helbing, D., Garnier, S., Johansson, A., Combe, M., Theraulaz, G.: Experimental study of the behavioural mechanisms underlying self-organization in human crowds. Proc. Biol. Sci. R. Soc. 276, 2755–62 (2009).  https://doi.org/10.1098/rspb.2009.0405CrossRefGoogle Scholar
  7. 7.
    Moussaïd, M., Helbing, D., Theraulaz, G.: How simple rules determine pedestrian behavior and crowd disasters. Proc. Natl. Acad. Sci. U.S.A. 108, 6884–6888 (2011).  https://doi.org/10.1073/pnas.1016507108CrossRefGoogle Scholar
  8. 8.
    Porzycki, J., Wąs, J., Hedayatifar, L., Hassanibesheli, F., Kułakowski, K.: Velocity correlations and spatial dependencies between neighbors in a unidirectional flow of pedestrians. Phys. Rev. E 96, 022307 (2017).  https://doi.org/10.1103/PhysRevE.96.022307CrossRefGoogle Scholar
  9. 9.
    Wang, P.: Understanding social-force model in psychological principles of collective behavior. Ph.D. thesis, May 2016Google Scholar
  10. 10.
    Wąs, J., Lubaś, R., Myśliwiec, W.: Proxemics in discrete simulation of evacuation. In: Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 768–775. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-33350-7_80CrossRefGoogle Scholar
  11. 11.
    Weidmann, U.: Transporttechnik der fugänger. Schriftenreihe des Institut für Verkehrsplanung, Transporttechnik, Straen-Und Eisenbahnbau 78, 62–64 (1993)Google Scholar
  12. 12.
    Yanagisawa, D., et al.: Introduction of frictional and turning function for pedestrian outflow with an obstacle. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 80, 036110 (2009).  https://doi.org/10.1103/PhysRevE.80.036110CrossRefGoogle Scholar
  13. 13.
    Yu, W., Johansson, A.: Modeling crowd turbulence by many-particle simulations. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 76, 046105 (2007).  https://doi.org/10.1103/PhysRevE.76.046105CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakowPoland

Personalised recommendations