% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Knoop:857145,
      author       = {Knoop, Victor L. and Daamen, Winnie and Schadschneider,
                      Andreas and Seyfried, Armin},
      title        = {{S}pecial {I}ssue on {V}ehicular and {P}edestrian {T}raffic
                      {F}low from {D}ata to {M}odels},
      journal      = {Transportmetrica / A Transport science A},
      volume       = {14},
      number       = {5-6},
      issn         = {2324-9943},
      address      = {Abingdon},
      publisher    = {Taylor $\&$ Francis},
      reportid     = {FZJ-2018-06389},
      pages        = {373 - 374},
      year         = {2018},
      abstract     = {We are happy to present this special issue of
                      Transportmetrica A on “Vehicular and pedestrian flow: from
                      data to models”. It bundles eight papers, which describe
                      the ever progressing state-of-the-art in this field. The
                      methods which become available to model and the data
                      collection techniques do change this field rapidly, which
                      makes it possible to more accurately describe traffic flows.
                      We have six papers on pedestrian dynamics and two papers on
                      car traffic dynamics.The first paper “Microscopic travel
                      time analysis of bottleneck experiments” by Bukáček,
                      Hrabák and Krbálek discusses the effect of queuing from
                      the lowest level: they report on experiments they did on
                      pedestrians passing a single bottleneck. This is the first
                      step in the process from data to models.The second paper, by
                      Handel and Borrmann, discusses the next step. Their paper
                      “Service bottlenecks in pedestrian dynamics” compares
                      the bottlenecks both in real-world and in computational
                      models. They conclude that the feedback in the queuing
                      system, increasing efficiency in high-demand situations, is
                      essential.Where the first two papers are focused on a
                      bottleneck, the next two add a network component. This
                      covers a complexity which is typical for pedestrian models,
                      being route choice, i.e. the planned path in complex spatial
                      structures like cities, airports or museums. The third paper
                      of the special issue is “A unified pedestrian routing
                      model for graph-based navigation built on cognitive
                      principles”, by Kielar, Biedermann, Kneidl and Borrmann.
                      The paper presents a methodology to describe routing
                      including spatial as well as social-cognitive aspects},
      cin          = {JSC},
      ddc          = {380},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000427920200001},
      doi          = {10.1080/23249935.2018.1441921},
      url          = {https://juser.fz-juelich.de/record/857145},
}