Conference Presentation (Invited)

FZJ-2025-05783

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Movement and waiting of crowds – state of the art models and data

Seyfried, A.FZJ*

2025

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Please use a persistent id in citations: doi:10.34734/FZJ-2025-05783

Abstract: The contribution starts with a historical review of the connection between modelling and technical possibilities of data collection. This is followed by an overview of current approaches to modelling the movement of individual pedestrians in crowds. These include cellular automata, force as well as speed models, and trajectory prediction models based on machine learning methods. A classification of individual movement options and collective phenomena in different density ranges is used to critically discuss current model approaches and their advantages and disadvantages. The last part of the lecture is dedicated to empirical results on waiting behaviour and first modelling approaches. The focus is on waiting on platforms and in queueing systems for event venues.

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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)

Appears in the scientific report 2025

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Database coverage:

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