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@MASTERSTHESIS{Subaih:886050,
      author       = {Subaih, Rudina},
      othercontributors = {Maree, Mohammed and Chraibi, Mohcine},
      title        = {{P}edestrian {D}ynamics: {E}xperimental {I}nvestigation of
                      the {F}undamental {D}iagram {A}cross {C}ultures},
      school       = {Arab American University-Palestine},
      type         = {Masterarbeit},
      reportid     = {FZJ-2020-04237},
      pages        = {90},
      year         = {2020},
      note         = {Masterarbeit, Arab American University-Palestine, 2020},
      abstract     = {The dynamics of pedestrians are normally controlled and
                      influenced by several factors that shape the flow, velocity,
                      and density of various pedestrian groups. Some of these
                      factors are related to pedestrian compositions. Over the
                      past few years, several experimental studies have been
                      conducted to identify and understand the impact of such
                      factors on pedestrian movement characteristics. Among the
                      most important experiments have been carried out in an
                      attempt to investigate the dynamics of pedestrians in narrow
                      corridors with closed boundary conditions. The advantage of
                      this simplified set-up is the ease to control the density,
                      which enables studying the so-called Fundamental Diagram
                      (density-velocity relation, FD) in a controlled and
                      consistent manner. The goal of this research is to
                      investigatethe physical movement characteristics of
                      Palestinian pedestrians using the density-velocity,
                      velocity-headway, and density-headway relations for
                      single-file movement experiments conducted with an emphasis
                      on various gender compositions. We compared the experiment
                      findings against similar experiments that have been
                      conducted in other cultures, namely in Germany and India.
                      Moreover, we perform a comparative analysis concerning the
                      age factor, by comparing our results with two types of
                      experiments that have been conducted in China: young, and
                      old pedestrians. After identifying the factors that control
                      the dynamics of pedestrians, we used them to investigate the
                      impact of each factor on the movement decisions and further
                      predict future movement characteristics using artificial
                      neural networks. Our proposed model precisely forecasts
                      future velocities and headway distances for various
                      pedestrian compositions and densities for single-file
                      movement experiments. The proposed prediction model was
                      validated using two trajectory datasets from Palestine and
                      China.},
      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)19},
      url          = {https://juser.fz-juelich.de/record/886050},
}