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@INPROCEEDINGS{Seyfried:1050075,
      author       = {Seyfried, Armin},
      title        = {{M}ovement and waiting of crowds – state of the art
                      models and data},
      school       = {DLR},
      reportid     = {FZJ-2025-05783},
      year         = {2025},
      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.},
      month         = {May},
      date          = {2025-05-12},
      organization  = {Simulation of Urban MObility, Berlin
                       (Germany), 12 May 2025 - 14 May 2025},
      subtyp        = {Invited},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.34734/FZJ-2025-05783},
      url          = {https://juser.fz-juelich.de/record/1050075},
}