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Continuum modeling of crowd turbulence.

Abhinav Golas1, Rahul Narain2, Ming C Lin1

  • 1University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 7, 2014
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Summary

Crowd turbulence, chaotic behavior in dense crowds, can be better simulated by including pedestrian friction and stress models alongside collision avoidance. This research improves crowd disaster prevention and planning.

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Area of Science:

  • Physics
  • Social Sciences
  • Computer Science

Background:

  • Increasing global population density elevates the risk of crowd disasters.
  • Crowd turbulence, emergent chaotic behavior in dense crowds, is a key factor in these disasters.
  • Existing simulation models fail to accurately represent crowd turbulence.

Purpose of the Study:

  • To develop a more accurate simulation model for crowd turbulence.
  • To improve understanding of the factors contributing to chaotic crowd behavior.
  • To aid in the prevention and planning of high-density crowd events.

Main Methods:

  • Proposed a novel simulation model for turbulent crowds.
  • Incorporated models for interpersonal stress and acceleration constraints.
  • Modeled both collision avoidance and frictional forces between pedestrians.

Main Results:

  • Simulated results closely matched observed metrics of crowd turbulence.
  • The new model demonstrated improved fidelity in simulating chaotic crowd dynamics.
  • Validated the hypothesis that friction and stress are crucial for accurate simulation.

Conclusions:

  • Accurate simulation of crowd turbulence requires modeling friction and stress.
  • The developed model offers a significant advancement in crowd dynamics research.
  • Enhanced simulation capabilities can improve crowd safety and disaster management.