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...

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Vydané v:	2019 IEEE Intelligent Transportation Systems Conference (ITSC) s. 3482 - 3487
Hlavní autori:	Wu, Jianqing, Zhou, Luping, Cai, Chen, Dong, Fang, Shen, Jun, Sun, Geng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2019
Predmet:	Delays GTFS Long Short-Term Memory Machine learning Prediction Prediction algorithms Predictive models Primary Delay Rail transportation Railways Schedules
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