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@PHDTHESIS{Xu:907313,
      author       = {Xu, Qiancheng},
      title        = {{O}perational {N}avigation of {A}gents and
                      {S}elf-organization {P}henomena in {V}elocity-based {M}odels
                      for {P}edestrian {D}ynamics},
      volume       = {49},
      school       = {Univ. Wuppertal},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2022-01956},
      isbn         = {978-3-95806-620-5},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {xii, 112},
      year         = {2022},
      note         = {Dissertation, Univ. Wuppertal, 2022},
      abstract     = {While moving in space, pedestrians often adjust their
                      direction of movement and/or their speed to avoid collisions
                      with others and obstacles. This steering process is
                      influenced by physical factors from the environment, as well
                      as psychological factors of pedestrians such as motivation.
                      Therefore, when modeling the movement of pedestrians
                      especially for reproducing self-organization phenomena, it
                      is important to consider these factors. This cumulative
                      dissertation includes four publications related to
                      velocity-based models for pedestrian dynamics. Three of them
                      study the navigation of pedestrians and related
                      self-organization phenomena, and the remaining one is an
                      applied study related to the control measures adopted by
                      German supermarkets during the COVID-19 pandemic.
                      Velocity-based models consider pedestrians as particles also
                      called agents and describe their movement at the operational
                      level, by means of first-order differential equations.
                      Velocity-based models, contrary to cellular automata, are
                      continuous in space. Moreover, the new position of
                      pedestrians is determined directly by a velocity function
                      instead of an integrating of acceleration in force-based
                      models. In publication I, a velocity-based model that
                      considers several basic behaviors of pedestrians is proposed
                      and validated with the fundamental diagram of unidirectional
                      pedestrian flow. Besides, the effect of agents’ shape on
                      the overall dynamics is studied. Although this basic model
                      is able to guarantee the volume exclusion and reproduce the
                      fundamental diagram of unidirectional pedestrian flow, it
                      does not perform well incomplex scenarios, where
                      self-organization phenomena occur. Therefore, in publication
                      II and III, the previously developed basic model is used to
                      quantitatively study clogging in bottleneck scenarios and
                      lane-formation in bidirectional flow scenarios,
                      respectively. In addition, in publication III, an
                      anticipation mechanism is introduced into the basic model to
                      describe lane-formation in bidirectional flow scenarios more
                      realistically.},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      url          = {https://juser.fz-juelich.de/record/907313},
}