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An Entropy-Based Combined Behavior Model for Crowd Evacuation.

Xiaowei Chen1, Jian Wang1

  • 1Department of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.

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|July 8, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an entropy-based model to simulate crowd evacuation, incorporating human behaviors like staying together. The model quantifies chaos and improves evacuation strategies for public safety.

Keywords:
crowd simulationentropyevacuation behaviorsmall social groups

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Area of Science:

  • Complex Systems
  • Social Dynamics
  • Computational Modeling

Background:

  • Effective crowd evacuation is crucial for public safety in large venues.
  • Modeling complex crowd behaviors, such as family cohesion, presents significant challenges.
  • Existing models often oversimplify human interactions during emergencies.

Purpose of the Study:

  • To develop an advanced evacuation model that incorporates combined human behaviors.
  • To quantitatively assess the impact of social behaviors on crowd dynamics using entropy.
  • To enhance the orderliness and efficiency of emergency crowd evacuations.

Main Methods:

  • Utilized Boltzmann entropy to measure crowd chaos.
  • Developed a combined behavior model simulating heterogeneous evacuee interactions.
  • Implemented a velocity adjustment mechanism for directed movement.

Main Results:

  • The proposed model effectively simulates the influence of social behaviors on evacuation.
  • Demonstrated that incorporating combined behaviors leads to more realistic crowd dynamics.
  • The velocity adjustment method improved the orderliness of simulated evacuations.

Conclusions:

  • The entropy-based combined behavior model offers a more accurate representation of real-world evacuations.
  • Findings provide valuable insights for designing safer and more efficient evacuation strategies.
  • This approach can aid in the planning and management of public spaces during emergencies.