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A learning based pedestrian flow prediction approach with diffusion behavior
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DOI：10.1016/j.trc.2025.105243.png)
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Abstract
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• Novel model for pedestrian flow prediction using crowd diffusion theory. • Interpretable modules for pedestrian route choice and speed estimation. • Online learning framework for fast-evolving scenarios. • Enables fundamental diagram estimation to support crowd management.
Keywords:
Real-time pedestrian flow prediction
Pedestrian simulation
Interpretable learning-based method
Crowd diffusion
Online learning
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