% 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{Feldmann:1023896,
author = {Feldmann, Sina and Adrian, Juliane and Boltes, Maik},
title = {{P}ropagation of controlled frontward impulses through
standing crowds},
journal = {Collective dynamics},
volume = {9},
number = {A148},
issn = {2366-8539},
address = {[Jülich]},
publisher = {[Forschungszentrum Jülich]},
reportid = {FZJ-2024-01882},
pages = {1-17},
year = {2024},
abstract = {Impulse propagation in crowds is a phenomenon that is
crucial for understanding collective dynamics, but has been
scarcely addressed so far. Therefore, we have carried out
experiments in which persons standing in a crowd are pushed
forward in a controlled manner. Variations of experimental
parameters include (i) the intensity of the push, (ii) the
initial inter-person distance, (iii) the preparedness of
participants and (iv) the crowd formation. Our analysis
links the intensity of an impulse recorded by a pressure
sensor with individual movements of participants based on
head trajectories recorded by overhead cameras and 3D motion
capturing data.The propagation distance as well as the
propagation speed of the external impact depends mainly on
the intensity of the impulse, whereas no significant effect
regarding the preparedness of participants could be found.
Especially the propagation speed is influenced by the
initial inter-person distance. From the comparison between
two methods that detect the time of motion due to the
impulse, a more sensitive result is obtained when the
velocity of three landmarks of the human body is taken into
account and not only the forward displacement of the center
of mass. Furthermore, the more intertwined participants are
in relation to each other, the more the impulse is
distributed to the sides. As a result, more people are
affected, however with smaller individual displacements.},
cin = {IAS-7},
ddc = {380},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / CrowdDNA -
TECHNOLOGIES FOR COMPUTER-ASSISTED CROWD MANAGEMENT
(899739)},
pid = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)899739},
typ = {PUB:(DE-HGF)16},
doi = {10.17815/CD.2024.148},
url = {https://juser.fz-juelich.de/record/1023896},
}