Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events

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• 作者：Bernhard Steffen (18)
  Mohcine Chraibi (18)
  
• 关键词：Cellular automata ; modeling ; pedestrian dynamics
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8751
• 期：1
• 页码：492-500
• 全文大小：1,205 KB
• 参考文献：1. Holl, S., Seyfried, A.: Hermes - An evacuation assistant for mass events. inSiDe聽7, 60鈥?1 (2009)
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  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鈥?00. Springer (2007)
  14. Seyfried, A., Boltes, M., K盲hler, 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鈥?56. Springer, Heidelberg (2010)
  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鈥?66. Springer, Heidelberg (2010)
  
• 作者单位：Bernhard Steffen (18)
  Mohcine Chraibi (18)
  
  18. J眉lich Supercomputing Centre, Forschungszentrum J眉lich GmbH, 52425, J眉lich, Germany
  
• ISSN：1611-3349

文摘

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.