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@PHDTHESIS{Eilhardt:189708,
      author       = {Eilhardt, Christian},
      title        = {{C}omputer simulation of pedestrian dynamics at high
                      densities},
      volume       = {29},
      school       = {Universität Köln},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2015-02743},
      isbn         = {978-3-95806-032-6},
      series       = {Schriften des Forschungszentrums Jülich. IAS Series},
      pages        = {viii, 142 S.},
      year         = {2015},
      note         = {Universität Köln, Diss., 2014},
      abstract     = {The increasing importance and magnitude of large-scale
                      events in our society calls for continuous research in the
                      field of pedestrian dynamics. This dissertation investigates
                      the dynamics of pedestrian motion at high densities using
                      computer simulations of stochastic models. The first part
                      discusses the successful application of the Floor Field
                      Cellular Automaton (FFCA) in an evacuation assistant that
                      performs faster than real-time evacuation simulations of up
                      to 50,000 persons leaving a multi-purpose arena. A new
                      interpretation of the matrix of preference improves the
                      realism of the FFCA simulation in U-turns, for instance at
                      the entrance to the stands. The focus of the second part is
                      the experimentally observed feature of phase separation in
                      pedestrian dynamics into a slow-moving and a completely
                      jammed phase. This kind of phase separation is fundamentally
                      different to known instances of phase separation in e.g.
                      vehicular traffic. Different approaches to modeling the
                      phase separation are discussed and an investigation of both
                      established and new models of pedestrian dynamics
                      illustrates the difficulties of finding a model able to
                      reproduce the phenomenon. The Stochastic Headway Dependent
                      Velocity Model is introduced and extensively analyzed,
                      simulations of the model evolve into a phase-separated state
                      in accordance with the experimental data. Key components of
                      the model are its slow-tostart rule, minimum velocity, and
                      large interaction range.},
      keywords     = {Dissertation (GND)},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      urn          = {urn:nbn:de:0001-2015020502},
      url          = {https://juser.fz-juelich.de/record/189708},
}