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An Entropy-Based Combined Behavior Model for Crowd Evacuation
1Department of Electronic and Information Engineering, Tongji University, Shanghai 201804, China.
Entropy (Basel, Switzerland)
|July 8, 2023
Summary
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.
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.
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