Research on Train Positioning System Based on Map Matching and Multi-information Fusion

2020 ◽  
Author(s):  
Yushan Yuan ◽  
Jinyang Lyu
Keyword(s):  
Information Fusion ◽  
Positioning System ◽  
Map Matching ◽  
Train Positioning

Vehicle positioning system with multi-hypothesis map matching and robust feedback

2017 ◽  
Vol 11 (10) ◽  
pp. 649-658 ◽  
Author(s):  
Kai Zhang ◽  
Shaojun Liu ◽  
Yuhan Dong ◽  
Daoshun Wang ◽  
Yi Zhang ◽  
...  
Keyword(s):  
Positioning System ◽  
Map Matching ◽  
Vehicle Positioning

scholarly journals The Method of Train Positioning Based on Digital Track Map Matching

2018 ◽  
Vol 246 ◽  
pp. 03024
Author(s):  
Pengfei Wang ◽  
Weidong Li ◽  
Xinping Wang ◽  
Xianwu Chu
Keyword(s):  
Correction Method ◽  
Position Estimation ◽  
Map Matching ◽  
Spline Curve ◽  
Positioning Method ◽  
Rail Line ◽  
Accurate Position ◽  
Train Positioning ◽  
Cubic Spline Curve ◽  
Track Line

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.

Research on WPS/PDR/MM Integrated Algorithm for Pedestrian Navigation and Positioning

2013 ◽  
Vol 437 ◽  
pp. 870-875 ◽  
Author(s):  
Zhong Liang Deng ◽  
Fei Peng Xie ◽  
Yan Pei Yu ◽  
Xiao Hong Zhao ◽  
Zhuang Yuan
Keyword(s):  
User Experience ◽  
Dead Reckoning ◽  
Positioning System ◽  
Map Matching ◽  
Positioning Error ◽  
Positioning Accuracy ◽  
Integrated Method ◽  
Pedestrian Navigation ◽  
Wireless Positioning ◽  
Pedestrian Dead Reckoning

In order to solve the discontinuity of navigation and positioning in indoor signal coverage blind areas, and false region judgment caused by positioning error, an integrated method combining Wireless Positioning System (WPS), Pedestrian Dead Reckoning (PDR) and Map Matching (MM) is presented in this paper. By using the combination of Kalman filtered WPS and PDR information, inertial information and geographic information, pedestrian position could be evaluated. Through experiment, this method effectively increased positioning accuracy of the system as well as greatly improved the user experience.

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