This title appears in the Scientific Report :
2014
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-11520-7_51 in citations.
Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events
Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events
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 fr...
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Personal Name(s): | Steffen, Bernhard (Corresponding Author) |
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Chraibi, Mohcine | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
Cellular Automata |
Imprint: |
Cham
Springer International Publishing
2014
|
Physical Description: |
492 - 500 |
ISBN: |
978-3-319-11519-1 (print) 978-3-319-11520-7 (electronic) |
DOI: |
10.1007/978-3-319-11520-7_51 |
Conference: | 11th International Conference on Cellular Automata for Research and Industry, Krakow (Poland), 2014-09-22 - 2014-09-24 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Series Title: |
Lecture Notes in Computer Science
8751 |
Publikationsportal JuSER |
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. |