ACRI 2014: Cellular Automata pp 492-500 | Cite as
Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events
Abstract
The Hermes project [1] demonstrated the usefulness of on site faster than real time simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. The present paper shows that a multiscale approach can perform the simulation in a fraction of time without loss of useful information. The main problem is the correct passing of agents from a coarse scale model to a fine scale model, here from a CA model to a force based model. This will be achieved by inserting agents into the force based model at positions and speeds optimized for smooth walking either by a priori information or using Voronoi cells. Connecting a Queue model to a continuous model has already been done successfully [3].
We also show that a slightly modified CA method can address the problem, too, at even less computational cost, with some possible loss of accuracy.
Keywords
Cellular automata modeling pedestrian dynamicsPreview
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References
- 1.Holl, S., Seyfried, A.: Hermes - An evacuation assistant for mass events. inSiDe 7, 60–61 (2009)Google Scholar
- 2.Kemloh, U., Steffen, B., Seyfried, A., Chraibi, M.: Parallel Real Time Computation of Large Scale Pedestrian Evacuations. Advances in Engineering Software, 60–61, 98–103 (2013)Google Scholar
- 3.Lämmel, G., Steffen, B.: A Fast Simulation Approach for Urban Areas. Transportation Research Board 93, 84–98 (2014)Google Scholar
- 4.Dieckmann, D.: Die Feuersicherheit in Theatern. Jung München (1911)Google Scholar
- 5.Fruin, J.J.: Pedestrian Planning and Design. Elevator World, New York (1971)Google Scholar
- 6.Predtetschenski, W.M., Milinski, A.I.: Personenströme in Gebäuden - Berechnungsmethoden für die Projektierung. Verlagsgesellschaft Rudolf Müller, Köln-Braunsfeld (1971)Google Scholar
- 7.Lämmel, G., Grether, D., Nagel, K.: The Representation and Implementation of Time-Dependent Inundation in Large-Scale Microscopic Evacuation Simulations. Transport. Res. C. 18, 84–98 (2010)CrossRefGoogle Scholar
- 8.Blue, V.J., Adler, J.L.: Cellular Automata Microsimulation of Bi-Directional Pedestrian Flows. J. Transp. Res. B. 1678, 135–141 (2000)CrossRefGoogle Scholar
- 9.Kirchner, A., Schadschneider, A.: Simulation of Evacuation Processes Using a Bionics-Inspired Cellular Automaton Model for Pedestrian Dynamics. Physica A 312, 260–276 (2002)CrossRefMATHGoogle Scholar
- 10.Steffen, B., Seyfried, A.: Modelling of Pedestrian Movement Around 90° and 180° Bends. In: Advanced Research Workshop “Fire Protection and Life Safety in Buildings and Transportation Systems”, pp. 243–253 (2009)Google Scholar
- 11.Molnár, P.: Modellierung und Simulation der Dynamik von Fußgängerströmen. Shaker, Aachen (1996)Google Scholar
- 12.Chraibi, M., Seyfried, A., Schadschneider, A.: Generalized Centrifugal-Force Model for Pedestrian Dynamics. Phys. Rev. E 82, 046111 (2010)Google Scholar
- 13.Rogsch, C., Klingsch, W., Seyfried, A., Weigel, H.: Prediction Accuracy of Evacuation Times for High-Rise Buildings and Simple Geometries by Using Different Software-Tools. In: Traffic and Granular Flow, pp. 395–400. Springer (2007)Google Scholar
- 14.Seyfried, A., Boltes, M., Kähler, J., Klingsch, W., Portz, A., Rupprecht, T., Schadschneider, A., Steffen, B., Winkens, A.: Enhanced Empirical Data for the Fundamental Diagram and the Flow Through Bottlenecks. In: Pedestrian and Evacuation Dynamics, pp. 145–156. Springer, Heidelberg (2010)Google Scholar
- 15.Schadschneider, A., Eilhardt, C., Nowak, S., Will, R.: Towards a Calibration of the Floor Field Cellular Automaton. In: Pedestrian and Evacuation Dynamics, pp. 557–566. Springer, Heidelberg (2010)Google Scholar