TY  - CONF
AU  - Seyfried, Armin
TI  - Movement and waiting of crowds – state of the art models and data
PB  - DLR
M1  - FZJ-2025-05783
PY  - 2025
AB  - 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.
T2  - Simulation of Urban MObility
CY  - 12 May 2025 - 14 May 2025, Berlin (Germany)
Y2  - 12 May 2025 - 14 May 2025
M2  - Berlin, Germany
LB  - PUB:(DE-HGF)6
DO  - DOI:10.34734/FZJ-2025-05783
UR  - https://juser.fz-juelich.de/record/1050075
ER  -