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000156156 020__ $$a978-3-319-11519-1 (print)
000156156 020__ $$a978-3-319-11520-7 (electronic)
000156156 0247_ $$2doi$$a10.1007/978-3-319-11520-7_51
000156156 0247_ $$2ISSN$$a1611-3349
000156156 0247_ $$2ISSN$$a0302-9743
000156156 037__ $$aFZJ-2014-05014
000156156 082__ $$a004
000156156 1001_ $$0P:(DE-Juel1)132269$$aSteffen, Bernhard$$b0$$eCorresponding Author$$ufzj
000156156 1112_ $$a11th International Conference on Cellular Automata for Research and Industry$$cKrakow$$d2014-09-22 - 2014-09-24$$gACRI$$wPoland
000156156 245__ $$aMultiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events
000156156 260__ $$aCham$$bSpringer International Publishing$$c2014
000156156 29510 $$aCellular Automata
000156156 300__ $$a492 - 500
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000156156 3367_ $$2BibTeX$$aINPROCEEDINGS
000156156 4900_ $$aLecture Notes in Computer Science$$v8751
000156156 520__ $$aThe Hermes project [1] demonstrated the usefulness of on site faster than real time simulations of probable evacuation scenarios for security personnel. However, the hardware needed was prohibitively expensive [2]. The present paper shows that a multiscale approach can perform the simulation in a fraction of time without loss of useful information. The main problem is the correct passing of agents from a coarse scale model to a fine scale model, here from a CA model to a force based model. This will be achieved by inserting agents into the force based model at positions and speeds optimized for smooth walking either by a priori information or using Voronoi cells. Connecting a Queue model to a continuous model has already been done successfully [3].We also show that a slightly modified CA method can address the problem, too, at even less computational cost, with some possible loss of accuracy.
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000156156 7001_ $$0P:(DE-Juel1)132077$$aChraibi, Mohcine$$b1$$ufzj
000156156 773__ $$a10.1007/978-3-319-11520-7_51
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000156156 9141_ $$y2014
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