Abstract
Simulating evacuation processes forms an established way of layout evaluation or testing routing strategies or sign location. A variety of simulation projects using different microscopic modeling and simulation paradigms has been performed. In this contribution, we are presenting a particular simulation project that evaluates different emergency system layout for a planned train tunnel. The particular interesting aspect of this project is the integration of realistic dynamic environmental data about temperature and smoke propagation and its effect on the agents equipped with high-level abilities.
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Daamen, W.: Modelling Passenger Flows in Public Transport Facilities. PhD thesis, Technische Universiteit Delft (2004)
Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Physical Review E 51(5), 4282–4286 (1995)
Oleson, R., Kaup, D.J., Clarke, T.L., Malone, L.C., Boloni, L.: Social potential models for modeling traffic and transportation. In: Bazzan, A.L., Klügl, F. (eds.) Multi-Agent Systems for Traffic and Transportation Engineering, pp. 155–175. IGI Global, Hershey (2009)
Schadschneider, A.: Cellular automaton approach to pedestrian dynamics - theory. In: Schreckenberg, M., Sharma, S.D. (eds.) Pedestrian and Evacuation Dynamics, pp. 75–85. Springer, New York (2002)
Burstedde, A., Kirchner, A., Klauck, K., Schadschneider, A., Zittartz, J.: Cellular automaton approach to pedestrian dynamics - applications. In: Schreckenberg, M., Sharma, S.D. (eds.) Pedestrian and Evacuation Dynamics, pp. 87–97. Springer, New York (2002)
Schadschneider, A., Küpfel, H., Kretz, T., Rogsch, C., Seyfried, A.: Fundamentals of pedestrian and evacuation dynamics. In: Bazzan, A.L., Klügl, F. (eds.) Multi-Agent Systems for Traffic and Transportation Engineering, pp. 124–154. IGI Global, Hershey (2009)
Osaragi, T.: Modeling of pedestrian behavior and its applications to spatial evaluation. In: AAMAS 2004, pp. 836–843. IEEE Computer Society, Los Alamitos (2004)
Willis, A., Kukla, R., Hine, J., Kerridge, J.M.: Developing the behavioural rules for an agent-based model of pedestrian movement. In: Proc. of the European Transport Conference, pp. 69–80 (2000)
Klügl, F., Rindsfüser, G.: Large scale agent-based pedestrian simulation. In: Petta, P., Müller, J.P., Klusch, M., Georgeff, M. (eds.) MATES 2007. LNCS (LNAI), vol. 4687, pp. 145–156. Springer, Heidelberg (2007)
Bandini, S., Federici, M.L., Vizzari, G.: Situated cellular agents approach to crowd modeling and simulation. Cybernetics and Systems 38(7), 729–753 (2007)
Dijkstra, J., Jessurun, J., de Vries, B., Timmermans, H.: Agent architecture for simulating pedestrians in the built environment. In: Bazzan, A.L.C., Chaib-Draa, B., Klügl, F., Ossowski, S. (eds.) 4th Agents in Traffic and Transportation at AAMAS 2006, Hakodate Japan, pp. 8–16 (2006)
Timpf, S.: Towards simulating cognitive agents in public transport systems. In: Bazzan, A.L., Klügl, F. (eds.) Multi-Agent Systems for Traffic and Transportation Engineering, pp. 176–190. IGI Global, Hershey (2009)
Lämmel, G., Rieser, M., Nagel, K.: Bottlenecks and congestion in evacuation scenarios: A microscopic evacuation simulation for large-scale disasters. In: Bazzan, A.L.C., Klügl, F., Ossowski, S. (eds.) Proc. of 5th Workshop on Agents in Traffic and Transportation, at AAMAS 2008, Estoril, PT, pp. 54–61 (2008)
Nakajima, Y., Shiina, H., Yamane, S., Ishida, T., Yamaki, H.: Disaster evacuation guide: Using a massively multiagent server and gps mobile phones. In: 2007 International Symposium on Applications and the Internet (SAINT 2007), Hiroshima, Japan, January 15-19 (2007)
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Klügl, F., Klubertanz, G., Rindsfüser, G. (2009). Agent-Based Pedestrian Simulation of Train Evacuation Integrating Environmental Data. In: Mertsching, B., Hund, M., Aziz, Z. (eds) KI 2009: Advances in Artificial Intelligence. KI 2009. Lecture Notes in Computer Science(), vol 5803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04617-9_79
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DOI: https://doi.org/10.1007/978-3-642-04617-9_79
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