Multi-agent Systems in Pedestrian Dynamics Modeling

  • Jarosław Wąs
  • Konrad Kułakowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)


The article presents the use of Multi-agent system (MAS) in pedestrian dynamics modeling. Current trends in pedestrian dynamics are presented with particular focus on a short review of various agent-based models of pedestrian dynamics. The models are briefly discussed and compared.


Cellular Automaton Multiagent System Social Force Model Pedestrian Behavior Pedestrian Dynamic 
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.


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  1. 1.
    Bandini, S., Federici, M.L., Vizzari, G.: Situated Cellular Agents Approach to Crowd Modeling and Simulation. Cybernetics and Systems 38(7), 729–753 (2007)CrossRefzbMATHGoogle Scholar
  2. 2.
    Blue V., Adler J.: Cellular Automata Microsimulation for Modeling Bi-Directional Pedestrian Walkways. Transportation Research Journal Part B 35(3), 293-31 (2001)Google Scholar
  3. 3.
    Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. PNAS 99 (suppl.) (2002)Google Scholar
  4. 4.
    Burstedde, C., Klauck, K., Schadschneider, A., Zittartz, J.: Simulation of pedestrian dynamics using a 2-dimensional cellular automation. Physica A 295(4), 507–525 (2001)CrossRefzbMATHGoogle Scholar
  5. 5.
    Dijkstra J., Timmermans H.J.P., Jessurun J.: A Multi-Agent Cellular Automata System for Visualising Simulated Pedestrian Activity, in: Proceedings of ACRI Theoretical and Practical Issues on Cellular Automata LNCS (2000)Google Scholar
  6. 6.
    Dudek–Dyduch, E., Wąs, J.: Knowledge representation of pedestrian dynamics in crowd: Formalism of cellular automata. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 1101–1110. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Gloor, C., Stucki, P., Nagel, K.: Hybrid techniques for pedestrian simulations. In: Proceedings of 4th Swiss Transport Research Conference (2004)Google Scholar
  8. 8.
    Helbing, D., Molnar, P.: Social Force Model for Pedestrian Dynamics. Physical Review E 51 (1995)Google Scholar
  9. 9.
    Klügl, F., Rindsfüser, G.: Large-scale Agent-based Pedestrian Simulation, in: Proceedings of 5th German Conference on Multiagent Systems Technologies LNCS (LNAI) Springer (2007)Google Scholar
  10. 10.
    Klüpfel, H.: The simulation of crowds at very large events, In: Traffic and Granular, Flow 2005. Springer, Berlin (2006)Google Scholar
  11. 11.
    Pauls, J.: Movement of People. DiNenno Washington (1995)Google Scholar
  12. 12.
    Redaelli, S.: Cellular Automata and Situated Cellular Agents for Crowd Dynamics Modeling and Simulation, PhD Thesis, University of Milano-Bicocca (2008)Google Scholar
  13. 13.
    Teknomo, K., Millonig, A.: A navigation algorithm for pedestrian simulation in dynamic environments. In: Proceedings of 11th conference on Transport Research (2007)Google Scholar
  14. 14.
    Wąs, J., Gudowski, B., Matuszyk, P.J.: Social distances model of pedestrian dynamics. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds.) ACRI 2006. LNCS, vol. 4173, pp. 492–501. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Wąs, J.: Multi-agent frame of social distances model. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds.) ACRI 2008. LNCS, vol. 5191, pp. 567–570. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  16. 16.
    Was, J.: Cellular Automata Model of Pedestrian Dynamics for Normal and Evacuation Conditions. In: Proceedings of Intelligent Systems Design and Applications, Wroclaw, pp. 154–159. IEEE CS, Washington (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jarosław Wąs
    • 1
  • Konrad Kułakowski
    • 1
  1. 1.Institute of AutomaticsAGH University of Science and TechnologyKrakówPoland

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