Identifying Left Behind Passengers at Subway Stations from Auto Fare Collection Data

With the rapid growth in transport demand, it has become a frequent occurrence that passengers are left behind especially during peak hours in subway, which has led to a significant reduction in the level of service. In this paper, we propose a left behind passengers identifying method based on Auto...

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Bibliographic Details
Main Authors: Lianghui Xie, Zhenji Zhang, Daqing Gong
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2022-01-01
Series:Tehnički Vjesnik
Subjects:
Online Access:https://hrcak.srce.hr/file/412460