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@INPROCEEDINGS{Seyfried:1050071,
      author       = {Seyfried, Armin},
      title        = {{D}ynamics of moving crowds - {T}ransport, behaviour and
                      risks at high densities},
      school       = {Brown University},
      reportid     = {FZJ-2025-05781},
      year         = {2025},
      abstract     = {Knowledge about the dynamic in crowds is useful for
                      planning events, transportation hubs, or escape routes in
                      buildings. In this context, the first part of the lecture
                      introduces transport characteristics of crowds. This
                      includes collective phenomena, the relationship between
                      density, speed and flow as well as congestion at
                      bottlenecks. State of the art models represent pedestrian as
                      two-dimensional objects (e.g., circles, ellipses, etc.) and
                      are thus able to predict congestion in complex path
                      networks. However, they reach their limits when it comes to
                      describing crowds at high densities. An insight into these
                      dynamics is gained by witness statements from the Love
                      Parade in Duisburg, an event in which 31 people died. The
                      analysis shows how people behave in crowds and how the loss
                      of balance lead to life-threatening situations. The last
                      part of the talk introduces a methodology for collecting
                      data that provides a three-dimensional description of the
                      movement and interaction of bodies (torsos and limbs) in
                      crowds. This data forms the basis to develop hybrid AI
                      models in which pedestrians interact as three-dimensional
                      objects.},
      organization  = {Perception and action seminar,
                       Providence (USA)},
      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)31},
      url          = {https://juser.fz-juelich.de/record/1050071},
}