STRmt: A state transition based model for real‐time crowd counting in a metro system
Li Sun,
Juanjuan Zhao,
Jun Zhang
et al.
Abstract:SummaryReal‐time estimation of crowd counting in underground metro systems, constrained by limited space, is crucial for managing heightened pedestrian volumes and responding promptly to emergencies. To address this challenge, we propose a passenger state transition‐based model, called STRmt, designed for the seamless and continuous monitoring of real‐time crowd movement within service areas of stations and trains, leveraging auto fare collection systems (AFC) as a comprehensive sensor network. Our innovation … Show more
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