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@PHDTHESIS{Andresen:859864,
      author       = {Andresen, Erik},
      title        = {{W}ayfinding and {P}erception {A}bilities for {P}edestrian
                      {S}imulations},
      volume       = {38},
      school       = {Universität Wuppertal},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2019-00686},
      isbn         = {978-3-95806-375-4},
      series       = {Schriften des Forschungszentrums Jülich Reihe. IAS Series},
      pages        = {X, 162 S.},
      year         = {2018},
      note         = {Universität Wuppertal, Diss., 2018},
      abstract     = {Computer simulations of pedestrian dynamics are common and
                      reliable tools in order to evaluate safety risks of
                      facilities. However, still many software frameworks for
                      evacuation simulations imply the assumption that all
                      simulated pedestrians are familiar with their environment
                      and therefore take the shortest path to the outside. In
                      fact, the spatial knowledge of people generally varies.
                      Thus, the assumption that all persons of a building possess
                      comprehensive spatial knowledge is a rough approximation of
                      the reality. Especially for simulations in complex buildings
                      the reliability of this approximation is questionable. In
                      order to make simulations of pedestrian dynamics more
                      reliable in this regard, this thesis introduces a new
                      software framework. This framework provides the possibility
                      to predict route choices of a group of people with varying
                      spatial knowledge degrees. Therefore, the framework also
                      considers selected wayfinding strategies that are applied
                      beside the use of spatial memories. These are using signage,
                      using generalized knowledge about the structure of
                      buildings, and search strategies. In addition, three studies
                      have been conducted in order to investigate wayfinding
                      abilities and strategies of people in office buildings and
                      subway stations. The results of the studies are discussed
                      and are used to calibrate and test the models of the new
                      software framework. Finally, the framework is applied to
                      conduct a case study of an evacuation scenario in a subway
                      station. The case study turns out that the egress time in
                      the station is strongly dependent on the wayfinding
                      strategies and abilities of the occupants. This outcome
                      suggests that the proper consideration and prediction of
                      route choices is relevant and necessary for reliable
                      evacuation simulations.},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / ORPHEUS - Optimierung der Rauchableitung und
                      Personenführung in U-Bahnhöfen: Experimente und
                      Simulationen (BMBF-13N13266)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)BMBF-13N13266},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2018121810},
      url          = {https://juser.fz-juelich.de/record/859864},
}