DocumentCode :
2874928
Title :
A Strong Wind Warning Method for High Speed Train Using Kalman Filter
Author :
Li, Yuntao ; Huang, Hong ; Wang, Hongye ; Yuan, Hongyong
fYear :
2012
fDate :
1-3 June 2012
Firstpage :
1
Lastpage :
3
Abstract :
In this paper, wind speed and direction along the high speed train railway line was predicted with the help of Kalman filter using simulated data. Results fit well with the true speed and direction. Warning system to adjust train speed was built mainly based on integrated risk coefficient, which was defined as the function of not only wind speed and direction, but also train speed and location.
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu, China
Print_ISBN :
978-1-4673-0872-4
Type :
conf
DOI :
10.1109/RSETE.2012.6260370
Filename :
6260370
Link To Document :
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