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@INPROCEEDINGS{Schrdter:887683,
      author       = {Schrödter, Tobias and Chraibi, Mohcine},
      title        = {{M}odeling {W}aiting {B}ehavior at {T}rain {S}tations with
                      {C}ellular {A}utomaton},
      reportid     = {FZJ-2020-04344},
      pages        = {1-11},
      year         = {2020},
      note         = {online Proceedings of FEMTC 2020},
      abstract     = {In general, pedestrian models describe the movement of
                      pedestrians with varying level of detail. Often complex
                      processes like way-finding in buildings or navigation
                      through a crowd are solved in a simplified way by collision
                      avoidance algorithms or social forces. For some
                      applications, like the evacuation of a building the moving
                      of pedestrians towards a goal is the substantial
                      contribution determining the dynamic of the process. This
                      changes in more general context, like pedestrians on
                      platforms or airport gates, where waiting people restrict
                      the space for the movement of the others. After reaching
                      their waiting position, pedestrians don’t have any need to
                      keep moving unless the event they are waiting for occurs,
                      e.g. arrival of a train or boarding of the plane starts. In
                      this regard, as opposed to a “moving dynamics” resulting
                      from pedestrians evacuating a specific place, we focus on a
                      “waiting dynamics” where pedestrians visit some
                      temporary areas and wait for a certain amount of time.We
                      model the process of finding the waiting positions, the
                      pedestrians would like to retain throughout the waiting
                      time. The decision will be based on a floor-field
                      representing comfort values based on static and dynamic
                      influences. We consider the geometry, the positions of the
                      entrances/exits, and other constant parameters as static
                      influence (Ezaki et al. (2016)). To simulate the real-time
                      reaction of the pedestrians to the observed situations, the
                      distribution and motion of the neighbors within a waiting
                      area are considered dynamically. Since the pedestrians
                      usually do not have a global overview of the region, an
                      iterative approach is proposed. First the pedestrians only
                      considers the parts of the geometry which are visible from
                      the current position. If none of the comfort values in the
                      visible area is above an individual threshold, the
                      pedestrians moves through the geometry until such a position
                      is found.},
      month         = {Sep},
      date          = {2020-09-09},
      organization  = {Fire and Evacuation Modeling Technical
                       Conference, virtual (virtual), 9 Sep
                       2020 - 11 Sep 2020},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / KapaKrit - Optimizing the capacity of train
                      stations in case of large-scale emergency evacuation events
                      $(jias72_20191101)$ / PhD no Grant - Doktorand ohne
                      besondere Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jias72_20191101$ /
                      G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)8},
      url          = {https://juser.fz-juelich.de/record/887683},
}