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.
CITATION STYLE
Steffen, B., & Chraibi, M. (2014). Multiscale simulation of pedestrians for faster than real time modeling in large events. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8751, 492–500. https://doi.org/10.1007/978-3-319-11520-7_51
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