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@INPROCEEDINGS{Braun:864746,
      author       = {Braun, Anna and Chraibi, Mohcine and Arnold, Lukas},
      title        = {{I}nvestigation of the capacity of train stations in case
                      of a large-scale emergency evacuation},
      volume       = {62},
      publisher    = {EasyChair},
      reportid     = {FZJ-2019-04417},
      series       = {EPiC Series in Computing},
      pages        = {68-77},
      year         = {2019},
      abstract     = {Nature and human-made hazards, like hurricanes,
                      inundations, terroristic attacks or in- cidents in nuclear
                      power plants, make it necessary to evacuate large urban
                      areas in a short time. So far, the consideration of railway
                      transportation is rarely part of the evacuation strategies.
                      One of the reasons is the unknown capacity of this
                      infrastructure.In the case of hurricanes Katrina and Rita
                      (USA) the evacuation was accomplished with pri- vate
                      vehicles and buses. In Germany, especially in the
                      conurbation of Nordrhein-Westfalen, where many roads are
                      overloaded during the daily rush hours, it will not be
                      possible to use only road dependent vehicles like private
                      cars or busses to evacuate a large number of people into
                      save areas.After the nuclear power plant disaster of
                      Fukushima, the working group ‘AG Fukushima’ was founded,
                      which recommends the use of trains for large-scale emergency
                      evacuations. However, it is not clear if the capacity of
                      train stations is enough to handle these large evacuations
                      in time. Hence, this work deals with the question of how the
                      capacity of train stations can be quantified and optimised
                      for this application. In order to estimate the capacity of
                      train stations we use and further develop the Ju ̈lich
                      Pedestrian Simula- tor (JuPedSim), a software for pedestrian
                      dynamics simulations. Therefore, a model of a train station
                      is built in JuPedSim and several parameters like the inflow
                      and outflow of the pedestrians are examined, to find the
                      best routing strategy and organisational ac- tions inside
                      the station. The focus of this contribution lies in the
                      identification of critical bottlenecks. An estimation of
                      which parameters are influencing congestion at these bottle-
                      necks is presented. Additionally, organisational strategies
                      are outlined, which can prevent congestion and increase the
                      capacity of a train station.},
      month         = {May},
      date          = {2019-05-13},
      organization  = {SUMO User Conference 2019, Berlin
                       (Germany), 13 May 2019 - 15 May 2019},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.29007/j32s},
      url          = {https://juser.fz-juelich.de/record/864746},
}