Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

Included in the following conference series:

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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)

    Article  MATH  Google Scholar 

  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. Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. PNAS 99 (suppl.) (2002)

    Google Scholar 

  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)

    Article  MATH  Google Scholar 

  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. 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)

    Chapter  Google Scholar 

  7. Gloor, C., Stucki, P., Nagel, K.: Hybrid techniques for pedestrian simulations. In: Proceedings of 4th Swiss Transport Research Conference (2004)

    Google Scholar 

  8. Helbing, D., Molnar, P.: Social Force Model for Pedestrian Dynamics. Physical Review E 51 (1995)

    Google Scholar 

  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. Klüpfel, H.: The simulation of crowds at very large events, In: Traffic and Granular, Flow 2005. Springer, Berlin (2006)

    Google Scholar 

  11. Pauls, J.: Movement of People. DiNenno Washington (1995)

    Google Scholar 

  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. 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. 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)

    Chapter  Google Scholar 

  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)

    Chapter  Google Scholar 

  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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wąs, J., Kułakowski, K. (2009). Multi-agent Systems in Pedestrian Dynamics Modeling. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04441-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics