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Modelling the Behaviour of Crowds in Panicked Conditions

  • Jake Wendt
  • Guangzhi Qu
  • Jianwei Niu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6890)

Abstract

Recently there has been an increasing amount of research being done on the topic of swarm intelligence and modelling crowd behaviour. The reasons for this being that a variety of disciplines find simulations of swarm intelligence to be very useful. There is however one area in particular in which more research could be done, the modelling of crowds as they disperse. The dispersal of crowds can occur for several reasons, such as naturally dispersing as a crowd leaves a confined area, or because of perceived dangers suddenly appearing within the crowd which can cause panic and confusion. This work is focused on the later of these causes. Specifically, this paper will examine how modelling groups within a crowd can effect the simulation of crowds dispersing. We were able to determine that by incorporating group behaviour into our model it did have an impact on many factors of the simulation, including the time it took for agents to escape. By taking into account such group structures within crowds we believe future simulations can be made much more accurate.

Keywords

Group Structure Swarm Intelligence Safe Distance Group Position Visual Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jake Wendt
    • 1
  • Guangzhi Qu
    • 1
  • Jianwei Niu
    • 2
  1. 1.Oakland UniversityRochesterUSA
  2. 2.School of Computer Science and EngineeringBeihang UniversityChina

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