Journal Article

FZJ-2023-02069

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Pedestrian Crowd Management Experiments: A Data Guidance Paper

Boomers, A. K. (Corresponding author)FZJ* ; Boltes, M.FZJ* ; Adrian, J.FZJ* ; Beermann, M. ; Chraibi, M.FZJ* ; Feldmann, S.FZJ* ; Fiedrich, F. ; Frings, N. ; Graf, A.FZJ* ; Kandler, A.FZJ* ; Kilic, D.FZJ* ; Konya, K. ; Küpper, M.FZJ* ; Lotter, A. ; Lügering, H.FZJ* ; Müller, F. ; Paetzke, S.FZJ* ; Raytarowski, A.-K. ; Sablik, O.FZJ* ; Schrödter, T.FZJ* ; Seyfried, A.FZJ* ; Sieben, A.FZJ* ; Üsten, E.FZJ*

2023
[Forschungszentrum Jülich] [Jülich]

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Please use a persistent id in citations: http://hdl.handle.net/2128/34550  doi:10.17815/CD.2023.141

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.

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Contributing Institute(s):

1. Zivile Sicherheitsforschung (IAS-7)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. Croma - Crowd Management in Transport Infrastructures (BMBF-DB001534) (BMBF-DB001534)
3. CrowdDNA - TECHNOLOGIES FOR COMPUTER-ASSISTED CROWD MANAGEMENT (899739) (899739)

Appears in the scientific report 2023

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