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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bandini, S., Federici, M.L., Vizzari, G.: Situated Cellular Agents Approach to Crowd Modeling and Simulation. Cybernetics and Systems 38(7), 729–753 (2007)
Blue V., Adler J.: Cellular Automata Microsimulation for Modeling Bi-Directional Pedestrian Walkways. Transportation Research Journal Part B 35(3), 293-31 (2001)
Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. PNAS 99 (suppl.) (2002)
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)
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)
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)
Gloor, C., Stucki, P., Nagel, K.: Hybrid techniques for pedestrian simulations. In: Proceedings of 4th Swiss Transport Research Conference (2004)
Helbing, D., Molnar, P.: Social Force Model for Pedestrian Dynamics. Physical Review E 51 (1995)
Klügl, F., Rindsfüser, G.: Large-scale Agent-based Pedestrian Simulation, in: Proceedings of 5th German Conference on Multiagent Systems Technologies LNCS (LNAI) Springer (2007)
Klüpfel, H.: The simulation of crowds at very large events, In: Traffic and Granular, Flow 2005. Springer, Berlin (2006)
Pauls, J.: Movement of People. DiNenno Washington (1995)
Redaelli, S.: Cellular Automata and Situated Cellular Agents for Crowd Dynamics Modeling and Simulation, PhD Thesis, University of Milano-Bicocca (2008)
Teknomo, K., Millonig, A.: A navigation algorithm for pedestrian simulation in dynamic environments. In: Proceedings of 11th conference on Transport Research (2007)
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)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)