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@INPROCEEDINGS{Subaih:865069,
      author       = {Subaih, Rudina and Mohammad, Maree and Chraibi, Mohcine and
                      Sami, Awad and Tareq, Zanoon},
      title        = {{G}ender-based {I}nsights into the {F}undamental {D}iagram
                      of {P}edestrian {D}ynamics},
      volume       = {11683},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2019-04631},
      isbn         = {978-3-030-28376-6 (print)},
      series       = {Lecture Notes in Computer Science book series (LNCS)},
      pages        = {613-624},
      year         = {2019},
      abstract     = {Over the past few years, several experimental studies have
                      been conducted to explore the diversity in pedestrian
                      dynamics with respect to several factors like culture and
                      motivation. However less attention has been payed to the
                      influence of gender on a crowd. One of the most fundamental
                      experiments in this context aims at investigating the
                      differences of pedestrian dynamics in narrow corridors with
                      closed boundary conditions. The main advantage of this
                      simplified set-up is the ease to control the density, which
                      enables studying the so-called Fundamental Diagram
                      (density-velocity relationship, FD) in a controlled and
                      consistent manner. In this paper, we investigate the main
                      characteristics of pedestrian dynamics observed in
                      laboratory experiments conducted in Palestine, using
                      single-file pedestrian flow information. Furthermore, we
                      conduct a comparative analysis among the gender-based FDs
                      for different cultures, in an attempt to study the different
                      characteristics and factors that may influence their
                      dynamics and motion flows.},
      month         = {Sep},
      date          = {2019-09-04},
      organization  = {ICCCI 2019: Computational Collective
                       Intelligence, Hendaye (France), 4 Sep
                       2019 - 6 Sep 2019},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / PhD no Grant - Doktorand ohne besondere
                      Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000611678800051},
      doi          = {10.1007/978-3-030-28377-3_51},
      url          = {https://juser.fz-juelich.de/record/865069},
}