Towards a General Prediction System for the Primary Delay in Urban Railways

Nowadays a large amount of data is collected from sensor devices across the cyber-physical networks. Accurate and reliable primary delay predictions are essential for rail operations management and planning. However, very few existing `big data' methods meet the specific needs in railways. We p...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2019 IEEE Intelligent Transportation Systems Conference (ITSC) S. 3482 - 3487
Hauptverfasser:	Wu, Jianqing, Zhou, Luping, Cai, Chen, Dong, Fang, Shen, Jun, Sun, Geng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2019
Schlagworte:	Delays GTFS Long Short-Term Memory Machine learning Prediction Prediction algorithms Predictive models Primary Delay Rail transportation Railways Schedules
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!