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Predictive Agent-Based Crowd Model Design Using Decentralized Control Systems
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DOI：10.1109/JSYST.2022.3188339.png)
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As a complex system, crowd dynamics emerge bottom-up from the local interactions between pedestrians as component subsystems. This article proposes a predictive agent-based crowd simulation model to analyze the outcomes of emergency evacuation scenarios taking into account collisions between pedestrians, smoke, fire sprinklers, and exit indicators. The crowd model is based on a decentralized control system structure, where each pedestrian agent is governed through a deliberative-reactive control architecture. The simulation model for evacuation includes a routing-based control system for dynamic-guided evacuation. A design case illustrates the modeling process. Results show that the crowd simulation model based on agent autonomy and local interactions is able to generate higher level crowd dynamics through emergence.
Keyword:
Behavioral sciences
Computational modeling
Buildings
Predictive models
Complex systems
Sensors
Safety
Agent-based modeling
complex systems
decentralized control
emergence
human behavior modeling
intelligent agents
simulation model
期刊
I
IF:
2.4
论文数:
4.5K
被引数:
387
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