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@ARTICLE{Xu:891370,
      author       = {Xu, Qiancheng and Chraibi, Mohcine and Seyfried, Armin},
      title        = {{P}rolonged clogs in bottleneck simulations for pedestrian
                      dynamics},
      journal      = {Physica / A},
      volume       = {573},
      issn         = {0378-4371},
      address      = {Amsterdam},
      publisher    = {North Holland Publ. Co.},
      reportid     = {FZJ-2021-01462},
      pages        = {125934 -},
      year         = {2021},
      abstract     = {This article studies clogging phenomena using a
                      velocity-based model for pedestrian dynamics. First, a
                      method to identify prolonged clogs in simulations was
                      introduced. Then bottleneck simulations were implemented
                      with different initial and boundary conditions. The number
                      of prolonged clogs were analyzed to investigate the decisive
                      factors causing this phenomenon. Moreover, the time lapse
                      between two consecutive agents passing the exit, and the
                      trajectories of agents were analyzed. The influence of three
                      type of factors was studied: parameters of the spatial
                      boundaries, algorithmic factors related to implementation of
                      the model, and the movement model. Parameters of the spatial
                      boundaries include the width and position of the bottleneck
                      exit. Algorithmic factors are the update methods and the
                      size of the time step. Model parameters cover several
                      parameters describing the level of motivation, the strength
                      and range of impact among agents, and the shape of agents.
                      The results show that the occurrence of prolonged clogs is
                      closely linked to parameters of the spatial boundaries and
                      the movement model but has virtually no correlation with
                      algorithmic factors.},
      cin          = {IAS-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / SISAME - SImulations
                      for SAfety at Major Events (HGF-DB001687)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)HGF-DB001687},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000642339400023},
      doi          = {10.1016/j.physa.2021.125934},
      url          = {https://juser.fz-juelich.de/record/891370},
}