Open Access
Volume 39, Number 3, June 2021
Page(s) 624 - 632
Published online 09 August 2021
  1. Chen Qijin, Niu Xiaoji, Zhang Quan, et al. Railway track irregularity measuring by GNSS/INS integration[J]. Navigation, 2015, 62 (1): 83– 93 [Article] [CrossRef] [Google Scholar]
  2. Hamid H A, Nicholson G L, Roberts C. Impact of train positioning inaccuracies on railway traffic management systems: framework development and impacts on TMS functions[J]. IET Intelligent Transport System, 2020, 14 (6): 534– 544 [Article] [CrossRef] [Google Scholar]
  3. Liu Shede, Chen Guangwu, Wang Di, et al. Train integrated positioning method based on GPS/DR/MM[J]. Journal of Railway Science and Engineering, 2018, 2 (2): 474– 482 [Article](in chinese) [Google Scholar]
  4. Liu Jiang, Cai Bogen, Wang Jian. Status and development of satellite navigation system based train positioning technology[J]. Journal of Central South University, 2014, 45: 4033– 4042 [Article](in chinese) [Google Scholar]
  5. Otegui Jon, Bahillo Alfonso, Lopetegi Iban, et al. Evaluation of experimental GNSS and 10-DOF MEMS IMU measurements for train positioning[J]. IEEE Trans on Instrumentation and Measurement, 2019, 68 (1): 269– 279 [Article] [CrossRef] [Google Scholar]
  6. Zhao Lei, Wang Hongwei, Zong Gan. Research on the application of BDS satellite-based enhancement system for train positioning[J]. Railway Communication Signal, 2017, 53 (9): 49– 52 [Article](in chinese) [Google Scholar]
  7. Jiang Wei, Chen Sirui, Cai Baigen, et al. A multi-sensor positioning method-based train localization system for low density line[J]. IEEE Trans on Vehicular Technology, 2018, 53 (99): 149– 154 [Google Scholar]
  8. Zhu Kai, Guo Xuan , Jiang Changhui, et al. MIMU/odometer fusion with state constraints for vehicle positioning during beidou signal outage: testing and results[J]. Sensors, 2020, 20 (8): 2302 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  9. Reimer C, Muller F J, Hinuber E L V. INS/GNSS/odometer data fusion in railway applications[C]//DGON Intertial Sensors and Systems, 2016 [Google Scholar]
  10. Wang Pengfei, Li Weidong, Chu Xianwu. Study on Beidou-assisted train positioning algorithm based on track constrained H8 filtering[J]. Journal of Railway Science and Engineering, 2019, 16 (3): 262– 268 [Article](in chinese) [Google Scholar]
  11. Liang Fei. A positioning method based on train motion model and inertial gyroscope[J]. Control and Information Technology, 2019 (6): 67– 70 [Article](in chinese) [Google Scholar]
  12. Yang Juhua, Yu Yue, Chen Guangwu, et al. Research on inertial navigation error suppression based on vehicle motion constraints[J]. Journal of the China Railway Society, 2020, 42 (2): 70– 77 [Article](in chinese) [Google Scholar]
  13. Zhang Quan, Chen Qijin, Niu Xiaoji, et al. Requirement assessment of the relative spatial accuracy of a motion-constrained GNSS/INS in shortwave track irregularity measurement[J]. Sensors, 2019, 19 (23): 52– 56 [Article] [Google Scholar]
  14. Zhu Feng, Zhou Wuxing, Zhang Yuxi, et al. Attitude variometric approach using DGNSS/INS integration to detect deformation in railway track irregularity measuring[J]. Journal of Geodesy, 2019, 93 (9): 1571– 1587 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  15. Syed Zainab F, Aggarwal Priyanka, Niu Xiaoji. Civilian vehicle navigation: required alignment of the inertial sensors for acceptable navigation accuracies[J]. IEEE Trans on Vehicular Technology, 2008, 57 (6): 3402– 3412 [Article] [CrossRef] [Google Scholar]
  16. China Railway Thrid Survey and Design Institu Gropu Co. High-speed railway design code[S]. TB 10621-2009(in Chinese) [Google Scholar]
  17. Fu Qiangwen, Qin Yongyuan, Li Sihai, et al. Inertial navigation algorithm aided by motion constraints of vehicle[J]. Journal of Chinese Inertial Technology, 2012 (6): 640– 643 [Article](in chinese) [Google Scholar]
  18. Miao Cunxiao, Chu Huanxin, Cao Juanjuan, et al. Steering angle adaptive estimation system based on GNSS and MEMS gyro[J]. Computers and Electronics in Agriculture, 2018 (153): 196– 201 [Google Scholar]
  19. Chen He, Zhang Zigang, Zhou Ziling, et al. SINS/OD integrated navigation algorithm based on body frame position increment for land vehicles[J]. Mathematical Problems in Engineering, 2018 (10): 145– 151 [Article] [Google Scholar]
  20. Zhang Weili, Chen Zaigang, Wang Jiaxin, et al. Study on curve negotiation dynamic performance of vehicle in high-speed freight emu equipped with two bogie groups with each having two double-axle bogies[J]. Internal Combustion Engine and Accessories, 2020 (11): 21– 25 [Article](in chinese) [Google Scholar]
  21. Gao H, Groves P D. Improving environment detection by behavior association for context-adaptive navigation[J]. Navigation, 2020, 67 (1): 43– 60 [Article] [CrossRef] [Google Scholar]

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