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@ARTICLE{Boomers:1007469,
author = {Boomers, Ann Katrin and Boltes, Maik and Adrian, Juliane
and Beermann, Mira and Chraibi, Mohcine and Feldmann, Sina
and Fiedrich, Frank and Frings, Niklas and Graf, Arne and
Kandler, Alica and Kilic, Deniz and Konya, Krisztina and
Küpper, Mira and Lotter, Andreas and Lügering, Helena and
Müller, Francesca and Paetzke, Sarah and Raytarowski,
Anna-Katharina and Sablik, Olga and Schrödter, Tobias and
Seyfried, Armin and Sieben, Anna and Üsten, Ezel},
title = {{P}edestrian {C}rowd {M}anagement {E}xperiments: {A} {D}ata
{G}uidance {P}aper},
journal = {Collective dynamics},
volume = {8},
number = {A141},
issn = {2366-8539},
address = {[Jülich]},
publisher = {[Forschungszentrum Jülich]},
reportid = {FZJ-2023-02069},
pages = {1 - 57},
year = {2023},
abstract = {Understanding pedestrian dynamics and the interaction of
pedestrians with their environment is crucial to the safe
and comfortable design of pedestrian facilities. Experiments
offer the opportunity to explore the influence of individual
factors. In the context of the project CroMa (Crowd
Management in transport infrastructures), experiments were
conducted with about 1000 participants to test various
physical and social psychological hypotheses focusing on
people's behaviour at railway stations and crowd management
measures. The following experiments were performed: i) Train
Platform Experiment, ii) Crowd Management Experiment, iii)
Single-File Experiment, iv) Personal Space Experiment, v)
Boarding and Alighting Experiment, vi) Bottleneck Experiment
and vii) Tiny Box Experiment. This paper describes the basic
planning and implementation steps, outlines all experiments
with parameters, geometries, applied sensor technologies and
pre- and post-processing steps. All data can be found in the
pedestrian dynamics data archive.},
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) / Croma - Crowd
Management in Transport Infrastructures (BMBF-DB001534) /
CrowdDNA - TECHNOLOGIES FOR COMPUTER-ASSISTED CROWD
MANAGEMENT (899739)},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)BMBF-DB001534 /
G:(EU-Grant)899739},
typ = {PUB:(DE-HGF)16},
doi = {10.17815/CD.2023.141},
url = {https://juser.fz-juelich.de/record/1007469},
}