Journal Article FZJ-2016-03781

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Multiscale simulation of pedestrians for efficient predictive modeling in large events

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2016
Old City Publishing Philadelphia, Pa.

Journal of cellular automata 11(4), 299-310 ()

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Abstract: The Hermes project [1] demonstrated the usefulness of on site predictive 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. The resulting model is easily parallelised using OpenMP, achieving reasonable efficiency.We also show how a CA method can be modified to address the problem better than standard CA, too. However, this approach needs further development and calibration to be reliable.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2016
Database coverage:
Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; No Authors Fulltext ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2016-07-09, last modified 2021-01-29



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