Title : 
A Strong Wind Warning Method for High Speed Train Using Kalman Filter
         
        
            Author : 
Li, Yuntao ; Huang, Hong ; Wang, Hongye ; Yuan, Hongyong
         
        
        
        
        
        
            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.
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/RSETE.2012.6260370