Title
Short-Term Strong Wind Risk Prediction for High-Speed Railway
Abstract
Running at a fast speed, the high-speed train is prone to be interrupted by the surrounding strong wind. To ensure the safety of the trains, an effective approach is to deploy anemometers alongside the railway, such that the real-time and short-term predicted wind speed can be reported, and be further used by dispatchers to take protective actions in advance. However, in certain situations, the so...
Year
DOI
Venue
2021
10.1109/TITS.2021.3058608
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Wind forecasting,Wind speed,Rail transportation,Sensors,Time series analysis,Safety,Real-time systems
Journal
22
Issue
ISSN
Citations 
7
1524-9050
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Haoyu Liu186.25
Chen Liu200.68
Shibo He300.34
Jiming Chen44389238.91