Research on Redundancy-based Integrated Train Positioning

Author(s):  
FangBo Qiao ◽  
Liu Bao ◽  
Zhao Sheng
Keyword(s):  
2021 ◽  
Author(s):  
Alessandro Neri ◽  
Federica Battisti ◽  
Sara Baldoni ◽  
Michele Brizzi ◽  
Luca Pallotta ◽  
...  

2019 ◽  
Vol 48 (11) ◽  
pp. 1148014
Author(s):  
朱东飞 ZHU Dong-fei ◽  
王永皎 WANG Yong-jiao ◽  
杨烨 YANG Ye ◽  
文伟 WEN Wei ◽  
辛丽平 XIN Li-ping ◽  
...  

2018 ◽  
Vol 246 ◽  
pp. 03024
Author(s):  
Pengfei Wang ◽  
Weidong Li ◽  
Xinping Wang ◽  
Xianwu Chu

A train positioning method based on GPS and digital rail line matching is proposed. Firstly, the digital track line is generated based on the fitting and interpolation algorithm of train track line. And then the GPS data are corrected by the track line positioning correction method, and the more accurate position estimation of the train is obtained. Finally, the data track line is simulated and analyzed with some measured data from Harbin to Qigihar track line. The analysis results show that cubic spline curve is better than cubic B-spline curve on the establishment of digital track map.


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