@Article{CiCP-16-1,
author = {},
title = {Efficient Dynamic Floor Field Methods for Microscopic Pedestrian Crowd Simulations},
journal = {Communications in Computational Physics},
year = {2014},
volume = {16},
number = {1},
pages = {264--286},
abstract = {<p style="text-align: justify;">Floor field methods are one of the most popular medium-scale navigation
concepts in microscopic pedestrian simulators. Recently introduced dynamic floor
field methods have significantly increased the realism of such simulations, i.e. agreement of spatio-temporal patterns of pedestrian densities in simulations with real world
observations. These methods update floor fields continuously taking other pedestrians into account. This implies that computational times are mainly determined by the
calculation of floor fields. In this work, we propose a new computational approach for
the construction of dynamic floor fields. The approach is based on the one hand on
adaptive grid concepts and on the other hand on a directed calculation of floor fields,
i.e. the calculation is restricted to the domain of interest. Combining both techniques
the computational complexity can be reduced by a factor of 10 as demonstrated by several realistic scenarios. Thus on-line simulations, a requirement of many applications,
are possible for moderate realistic scenarios.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.200513.290114a},
url = {https://global-sci.com/article/80438/efficient-dynamic-floor-field-methods-for-microscopic-pedestrian-crowd-simulations}
}