Simulation of Crowd Dynamics in Panic Situations Using a Fuzzy Logic-Based Behavioural Model

  • Mauro Dell’Orco
  • Mario Marinelli
  • Michele Ottomanelli
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 262)


Tragic events in overcrowded situations have highlighted the importance of the availability of good models for pedestrian behaviour under emergency conditions. Crowd models are generally macroscopic or microscopic. In the first case, the crowd is considered to be like a fluid, so that its movement can be described through differential equations. In the second case, the collective behaviour of the crowd is the result of interactions among individual elements of the system. In this paper, we propose a microscopic model of crowd evacuation that incorporates the fuzzy perception and anxiety embedded in human reasoning. A Visual C++ application was developed to evaluate the outcomes of the model. The model was tested in scenarios with presence of a fixed obstacle. Simulation results have been analyzed in terms of door capacity and compared with an experimental study.


Pedestrian behaviour Fuzzy logic Micro-simulation modelling Evacuation simulation 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mauro Dell’Orco
    • 1
  • Mario Marinelli
    • 1
  • Michele Ottomanelli
    • 1
  1. 1.D.I.C.A.T.E.Ch.Technical University of BariBariItaly

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