TY  - JOUR
AU  - Chraibi, Mohcine
AU  - Steffen, Bernhard
TI  - Multiscale simulation of pedestrians for efficient predictive modeling in large events
JO  - Journal of cellular automata
VL  - 11
IS  - 4
SN  - 1557-5969
CY  - Philadelphia, Pa.
PB  - Old City Publishing
M1  - FZJ-2016-03781
SP  - 299-310
PY  - 2016
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000385016800004
UR  - https://juser.fz-juelich.de/record/811280
ER  -