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@ARTICLE{Chraibi:283362,
      author       = {Chraibi, Mohcine and Ensslen, Tim and Gottschalk, Hanno and
                      Saadi, Mohamed and Seyfried, Armin},
      title        = {{A}ssessment of models for pedestrian dynamics with
                      functional principal component analysis},
      journal      = {Physica / A},
      volume       = {451},
      issn         = {0378-4371},
      address      = {Amsterdam},
      publisher    = {North Holland Publ. Co.},
      reportid     = {FZJ-2016-01785},
      pages        = {475–489},
      year         = {2016},
      abstract     = {Many agent based simulation approaches have been proposed
                      for pedestrian flow. As such models are applied e.g. in
                      evacuation studies, the quality and reliability of such
                      models is of vital interest. Pedestrian trajectories are
                      functional data and thus functional principal component
                      analysis is a natural tool to assess the quality of
                      pedestrian flow models beyond average properties. In this
                      article we conduct functional Principal Component Analysis
                      (PCA) for the trajectories of pedestrians passing through a
                      bottleneck. In this way it is possible to assess the quality
                      of the models not only on basis of average values but also
                      by considering its fluctuations. We benchmark two agent
                      based models of pedestrian flow against the experimental
                      data using PCA average and stochastic features. Functional
                      PCA proves to be an efficient tool to detect deviation
                      between simulation and experiment and to assess quality of
                      pedestrian models.},
      cin          = {JSC},
      ddc          = {500},
      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)16},
      UT           = {WOS:000373420800044},
      doi          = {10.1016/j.physa.2016.01.058},
      url          = {https://juser.fz-juelich.de/record/283362},
}