Paper Details

@InProceedings{KerridgeMcNair99,
  title = "{PEDFLOW} - {A} {S}ystem for {M}odelling {P}edestrian {M}ovement using occam",
  author= "Kerridge, Jon and McNair, N.",
  editor= "Cook, Barry M.",
  pages = "1--18",
  booktitle= "{P}roceedings of {W}o{TUG}-22: {A}rchitectures, {L}anguages and {T}echniques for {C}oncurrent {S}ystems",
  isbn= "90 5199 480 X",
  year= "1999",
  month= "mar",
  abstract= "Road traffic modelling and simulation is currently well
     provided with a variety of packages dealing with the minute
     detail of road layouts from single isolated junction models
     to complete network simulations. There has also been much
     work in developing assignment models to optimise traffic
     signal sequences. The same is not true in the pedestrian
     modelling arena. With the exception of models dealing with
     railway and airport concourses and models of pedestrian
     movements around sports stadia there is very little support
     for the planner or designer of the pedestrian urban
     environment. The system discussed in this paper provides
     some insights as to the reasons for this and describes a
     highly parallel microscopic model called PEDFLOW (PEDestrian
     FLOW) which attempts to remedy the situation. The model
     operates on a grid size that is equivalent to the space
     occupied by a person at rest. The major difference between
     vehicular and pedestrian movement is that the former really
     has only one degree of freedom, forwards, whereas a
     pedestrian has unlimited two-dimensional degrees of freedom.
     Vehicular travel is governed by a large number of laws and
     regulations that make it much easier to model. Within the
     pedestrian urban environment there are very few laws and
     regulations and those that do apply are related to
     interactions with vehicles. The design of PEDFLOW is
     discussed and it is shown how the complex behavioural rules
     governing pedestrian movement are captured. The parallel
     architecture underlying the model is described and it shows
     how the maximum possible parallelism is achieved among all
     the moving pedestrians at any one time. The performance of
     the model is then presented and uses to which the model is
     being put are then briefly presented."
}

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