% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Xu:864828,
author = {Xu, Qiancheng and Chraibi, Mohcine and Tordeux, Antoine and
Zhang, Jun},
title = {{G}eneralized collision-free velocity model for pedestrian
dynamics},
journal = {Physica / A Statistical mechanics and its applications A},
volume = {535},
issn = {0378-4371},
address = {Amsterdam},
publisher = {North Holland Publ. Co.},
reportid = {FZJ-2019-04475},
pages = {122521 -},
year = {2019},
note = {https://arxiv.org/abs/1908.10304},
abstract = {The collision-free velocity model is a microscopic
pedestrian model, which despite its simplicity, reproduces
fairly well several self-organization phenomena in
pedestrian dynamics. The model consists of two components: a
direction sub-model that combines individual desired moving
direction and neighbor’s influence to imitate the process
of navigating in a two-dimensional space, and an
intrinsically collision-free speed sub-model which controls
the speed of the agents with respect to the distance to
their neighbors.In this paper we generalize the
collision-free velocity model by introducing the influence
of walls and extending the distance calculations to
velocity-based ellipses. Besides, we introduce enhancements
to the direction sub-module that smooth the direction
changes of pedestrians in the simulation; a shortcoming that
was not visible in the original model due to the symmetry of
the circular shapes. Moreover, the introduced improvements
mitigate backward movements, leading to a more realistic
distribution of pedestrians especially in bottleneck
scenarios.We study by simulation the effects of the
pedestrian’s shape by comparing the fundamental diagram in
narrow and wide corridors. Furthermore, we validate our
generalized approach by investigating the flow through
bottlenecks with varying exit’s widths.},
cin = {IAS-7},
ddc = {500},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / PhD no Grant - Doktorand ohne besondere
Förderung (PHD-NO-GRANT-20170405)},
pid = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)PHD-NO-GRANT-20170405},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000498749000041},
doi = {10.1016/j.physa.2019.122521},
url = {https://juser.fz-juelich.de/record/864828},
}