pub.1031351131
dimensions_id
continuous model
method
time
loss
fraction of time
real-time modeling
passing
https://scigraph.springernature.com/explorer/license/
multiscale simulations
CA method
Hermes project
project
information
events
simulations
queue model
chapters
accuracy
speed
main problems
less computational cost
present paper
coarse-scale models
smooth walking
problem
Voronoi cells
real-time simulation
modeling
security personnel
usefulness
model
chapter
computational cost
possible loss
personnel
paper
multiscale approach
scenarios
CA model
evacuation scenarios
large events
force
time simulation
2014-01-01
time modeling
agents
2014
scale model
https://doi.org/10.1007/978-3-319-11520-7_51
Multiscale Simulation of Pedestrians for Faster Than Real Time Modeling in Large Events
cells
en
approach
false
pedestrians
position
walking
fraction
hardware
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.
fine-scale model
2022-05-20T07:46
cost
492-500
sites
useful information
10.1007/978-3-319-11520-7_51
doi
Mohcine
Chraibi
Sirakoulis
Georgios Ch.
Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany
Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany
Steffen
Bernhard
Information and Computing Sciences
Springer Nature - SN SciGraph project
Bandini
Stefania
978-3-319-11520-7
978-3-319-11519-1
Cellular Automata
Springer Nature
Wąs
Jarosław
Artificial Intelligence and Image Processing