A Two-Stage Coarse-to-Fine Framework for Sparse Crowd Density Prediction in Digital Twin-Based Safety Monitoring

Crowd-related disasters in dense public spaces unfold into hazardous situations within seconds, repeatedly demonstrating that reactive response alone is insufficient to minimize damage. This reality has intensified the need for monitoring systems that can proactively forecast congestion before it re...

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Bibliografische Detailangaben

Hauptverfasser:	Younghwan Jeong, SoHyeon Kim, Jinyoung Lee, Donghoon Lee, Taemin Hwang, Won Gi Choi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-06-01
Schriftenreihe:	Sensors
Schlagworte:	digital twin crowd density prediction spatio-temporal sparsity crowd safety monitoring
Online-Zugang:	https://www.mdpi.com/1424-8220/26/13/4094
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