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@INBOOK{Bellomo:1019933,
      author       = {Cordes, Jakob and Chraibi, Mohcine and Tordeux, Antoine and
                      Schadschneider, Andreas},
      editor       = {Bellomo, Nicola and Gibelli, Livio},
      title        = {{S}ingle-{F}ile {P}edestrian {D}ynamics: {A} {R}eview of
                      {A}gent-{F}ollowing {M}odels},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2023-05754},
      isbn         = {978-3-031-46359-4},
      series       = {Modeling and Simulation in Science, Engineering and
                      Technology},
      pages        = {143 - 178},
      year         = {2023},
      comment      = {Crowd Dynamics, Volume 4 / Bellomo, Nicola (Editor) ; Cham
                      : Springer International Publishing, 2023, Chapter 6 ; ISSN:
                      2164-3679=2164-3725 ; ISBN:
                      978-3-031-46358-7=978-3-031-46359-4 ;
                      doi:10.1007/978-3-031-46359-4},
      booktitle     = {Crowd Dynamics, Volume 4 / Bellomo,
                       Nicola (Editor) ; Cham : Springer
                       International Publishing, 2023, Chapter
                       6 ; ISSN: 2164-3679=2164-3725 ; ISBN:
                       978-3-031-46358-7=978-3-031-46359-4 ;
                       doi:10.1007/978-3-031-46359-4},
      abstract     = {Single-file dynamics has been studied intensively, both
                      experimentally and theoretically. It shows interesting
                      collective effects, such as stop-and-go waves, which are
                      validation cornerstones for any agent-based modeling
                      approach of traffic systems. Many models have been proposed,
                      e.g. in the form of car-following models for vehicular
                      traffic. These approaches can be adapted for pedestrian
                      streams. In this study, we delve deeper into these models,
                      with particular attention on their interconnections. We do
                      this by scrutinizing the influence of different parameters,
                      including relaxation times, anticipation time, and reaction
                      time. Specifically, we analyze the inherent fundamental
                      problems with force-based models, a classical approach in
                      pedestrian dynamics. Furthermore, we categorize
                      car-following models into stimulus-response and optimal
                      velocity models, highlighting their historical and
                      conceptual differences. These classes can further be
                      subdivided considering the conceptual definitions of the
                      models, e.g. first-order vs. second-order models, or
                      stochastic vs. deterministic models with and without noise.
                      Our analysis shows how car-following models originally
                      developed for vehicular traffic can provide new insights
                      into pedestrian behavior. The focus on single-file motion,
                      which is similar to single-lane vehicular traffic, allows
                      for a detailed examination of the relevant interactions
                      between pedestrians.},
      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)7},
      UT           = {WOS:001360275500007},
      doi          = {10.1007/978-3-031-46359-4_6},
      url          = {https://juser.fz-juelich.de/record/1019933},
}