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@INPROCEEDINGS{Chraibi:852633,
      author       = {Chraibi, Mohcine and Steffen, Bernhard},
      title        = {{T}he automatic generation of an efficient floor field for
                      {CA} simulations},
      volume       = {11088},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2018-05530},
      isbn         = {978-3-319-98653-1 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {185 - 195},
      year         = {2018},
      comment      = {Cellular Automata},
      booktitle     = {Cellular Automata},
      abstract     = {The Hermes project [1] demonstrated the usefulness of on
                      site predictive simulations of probable evacuation scenarios
                      for security personnel. However, the hardware needed was
                      prohibitively expensive [2]. For use in crowd management,
                      the software has to run on available computers. The CA
                      methods, which are fast enough, have well known problems
                      with treating corners and turns. The present paper shows how
                      a standard CA method can be modified to produce a realistic
                      movement of people around bends and obstacles by changing
                      the standard floor field. This can be done adaptively
                      allowing for the momentary situation using simple
                      predictions for the immediate future. The approach has one
                      or two tuning parameter that have an obvious meaning and can
                      therefore be set correctly by people not familiar with the
                      inner process of a CA simulation. With this, a high end
                      laptop can simulate more than 100 000 persons faster than
                      real time, which should be enough for most occasions. It is
                      intended to integrate the method into the tool JuPedSim
                      [23].},
      month         = {Sep},
      date          = {2018-09-17},
      organization  = {International conference on cellular
                       automata for research and industry,
                       Como (Italy), 17 Sep 2018 - 21 Sep
                       2018},
      cin          = {IAS-7 / JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IAS-7-20180321 / I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000894231400017},
      doi          = {10.1007/978-3-319-99813-8_17},
      url          = {https://juser.fz-juelich.de/record/852633},
}