Advertisement

Modeling of People Flow in Public Transport Vehicles

  • Bartłomiej Gudowski
  • Jarosław Wąs
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3911)

Abstract

Nowadays, there is a big necessity of modeling groups of people behavior. The knowledge of crowd dynamics is very useful in developing different facilities. The article contains a description of a model of passengers flow in public transport vehicles. The model is created on the basis of tram NGT-6, used by MPK SA in Krakow (Public Transport Company). The model proposed is based on Cellular Automata Technology combined with Multi-Agent theory. The interactions among passengers (agents) are included. The dimensions and the shape of an agent make it possible to take into account the real behavior of a passenger.

Keywords

Cellular Automaton Cellular Automaton Cellular Automaton Model Cellular Automaton Model Pedestrian Movement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fukui, M., Ishibashi, Y.: Self-organized phase transitions in CA-models for pedestrians. J. Phys. Soc. Japan, 2861–2863 (1999)Google Scholar
  2. 2.
    Blue, V., Adler, J.: Bi-directional emergent fundamental flows from cellular automata microsimulation. In: Proceedings of ISTTT, Amsterdam, pp. 235–254 (1999)Google Scholar
  3. 3.
    Burstedde, C.K., Klauck, K., Schadschneider, A., Zittartz, J.: Simulation of pedestrian dynamics using a 2-dimensional cellular automaton. Phys. Rev. A 295, 507–525 (2001)MATHGoogle Scholar
  4. 4.
    Dijkstra, J., Jessurun, A.J., Timmermans, H.: A multi-agent cellular automata model of pedestrian movement. In: Pedestrian and evacuation dynamics, pp. 173–181. Springer, Berlin (2000)Google Scholar
  5. 5.
    Dijkstra, J., Jessurun, A.J., Timmermans, H.: A multi-agent cellular automata system for visualising simulated pedestrian activity. In: Proceedings of TPICA 2000, pp. 29–36 (2001)Google Scholar
  6. 6.
    Klüpfel, H.: Cellular automaton model for crowd movement and egress simulation, Doc. thesis Duisburg-Essen (2003)Google Scholar
  7. 7.
    Gloor, C., Stucki, P., Nagel, K.: Hybrid techniques for pedestrian simulations. In: Proceedings of 6th International Conference on Cellular Automata for Research and Industry, Amsterdam, pp. 581–590 (2004)Google Scholar
  8. 8.
    Narimatsu, K., Shiraishi, T., Morishita, S.: Acquisiting of local neighbour rules in the simulation of pedestrian flow by Cellular Automata. In: Proceedings of 6th International Conference on Cellular Automata for Research and Industry, Amsterdam, pp. 211–219 (2004)Google Scholar
  9. 9.
    Wąs, J., Gudowski, B.: The application of cellular automata for pedestrian dynamic simulation. Automatyka Journal AGH-UST, Kraków, 303–313 (2004)Google Scholar
  10. 10.
    Wąs, J., Gudowski, B.: Simulation of strategical abilities in pedestrian movement using Cellular Automata. In: Proceedings of 24th IASTED MIC Conference, Innsbruck, pp. 549–553 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bartłomiej Gudowski
    • 1
  • Jarosław Wąs
    • 1
  1. 1.Institute of AutomaticsAGH University of Sciences and TechnologyKrakówPoland

Personalised recommendations