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