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@INBOOK{Schadschneider:860643,
      author       = {Schadschneider, Andreas and Chraibi, Mohcine and Seyfried,
                      Armin and Tordeux, Antoine and Zhang, Jun},
      title        = {{P}edestrian {D}ynamics: {F}rom {E}mpirical {R}esults to
                      {M}odeling},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-01311},
      isbn         = {978-3-030-05128-0 (print)},
      series       = {Modeling and Simulation in Science, Engineering and
                      Technology},
      pages        = {63 - 102},
      year         = {2018},
      comment      = {Crowd Dynamics, Volume 1 / Gibelli, Livio (Editor) ; Cham :
                      Springer International Publishing, 2018, Chapter 4 ; ISSN:
                      2164-3679=2164-3725 ; ISBN:
                      978-3-030-05128-0=978-3-030-05129-7 ;
                      doi:10.1007/978-3-030-05129-7},
      booktitle     = {Crowd Dynamics, Volume 1 / Gibelli,
                       Livio (Editor) ; Cham : Springer
                       International Publishing, 2018, Chapter
                       4 ; ISSN: 2164-3679=2164-3725 ; ISBN:
                       978-3-030-05128-0=978-3-030-05129-7 ;
                       doi:10.1007/978-3-030-05129-7},
      abstract     = {In this contribution, we review the state of the art of the
                      interplay between empirical and theoretical studies of
                      pedestrian dynamics. First, we introduce the main physical
                      quantities characterizing the properties of a homogeneous
                      crowd. A brief summary of some important empirical findings
                      is given. Finally, we discuss the properties of microscopic
                      pedestrian models. Different classifications of the models
                      are proposed. We emphasize the relevance of empirical
                      results and show how they can be used for validation and
                      calibration.},
      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)7},
      UT           = {WOS:000622917300005},
      doi          = {10.1007/978-3-030-05129-7_4},
      url          = {https://juser.fz-juelich.de/record/860643},
}