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Abstract

Because satellite positioning has many advantages, such as low cost, good real-time performance and no accumulative error (Blomenhofer in Acta Astronaut 54:965–968, 2004 [1]), it is widely used in automobile navigation (Skog and Handel in IEEE Trans Int Transp Syst 10(1):4–21, 2009 [2]) and electronic map software (Zhang et al. in IEEE Trans Int Transp Syst 9(4):666–677, 2008 [3]). In addition, satellite positioning technology is also applied to train positioning and tracking by replacing the track circuit and radio frequency positioning technology that have been used in the past (Santos et al. in IEEE Trans Int Transp Syst 6(2):244–258, 2005 [4]). The adoption of satellite positioning technology can greatly reduce the installation and maintenance costs of the wayside equipment (Raymond et al. in Railway Gaz Int 160(12):835–837, 2004 [5].

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References

  1. Blomenhofer H. GNSS in the 21st century-the user perspective. Acta Astronaut. 2004;54:965–8.

    Article  Google Scholar 

  2. Skog I, Handel P. In-car positioning and navigation technologies—a survey. IEEE Trans Intell Transp Syst. 2009;10(1):4–21.

    Article  Google Scholar 

  3. Zhang J, Chen D, Kruger U. Adaptive constraint K-segment principal curves for intelligent transportation systems. IEEE Trans Intell Transp Syst. 2008;9(4):666–77.

    Article  Google Scholar 

  4. Santos AJD, Soares AR, de Almeida Redondo F M, et al. Tracking trains via radio frequency systems. IEEE Trans Intell Transp Syst. 2005;6(2):244–58.

    Article  Google Scholar 

  5. Raymond G, Marais J, Berbineau M. Innovation brings satellite-based train control within reach. Railway Gaz Int. 2004;160(12):835–7.

    Google Scholar 

  6. Urech A, Pérez Diestro J, Gonzalez O. GADEROS, a GALILEO demonstrator for railway operation system. In Data systems in aerospace, Dublin, Ireland; 2002. p 442–447.

    Google Scholar 

  7. Albanese A, Marradi L, Labbiento G, et al. The RUNE project: the integrity performances of GNSS-based railway user navigation equipment. In Proceeding of ASME/IEEE 2005 joint rail conference. American Society of Mechanical Engineers; 2005. p. 211–8.

    Google Scholar 

  8. Baker J, Clennan J. ITCS: a new approach to increasing capacity. Int Railway J. 2005;45(10):46–7.

    Google Scholar 

  9. Li K. The project of ITCS signal control system of Qinghai-Tibet Railway. Chin Railways. 2005;7:31–6.

    Google Scholar 

  10. Simsky A, Wilms F. GNSS-based failsafe train positioning system for low-density traffic lines based on one-dimensional positioning algorithm. Conserv. Matters. 2004.

    Google Scholar 

  11. Gu YH, Tjahjadi T. Coarse-to-fine planar object identification using invariant curve features and B-spline modeling. Pattern Recogn. 2000;33(9):1411–22.

    Article  Google Scholar 

  12. Gao G, Cai B. Research on the automatic electronic map generation algorithm for the train supervision system. J China Railway Soc. 2006;1:63–70.

    Google Scholar 

  13. Bruald RA. Introductory combinatorics. 4th ed. Englewood Cliffs, NJ: Prentice-Hall; 2004.

    Google Scholar 

  14. Pemmaraju S, Skiena S. Computational discrete mathematics: combinatorics and graph theory with mathematica. Cambridge, U.K.: Cambridge University Press; 2003.

    Book  Google Scholar 

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Correspondence to Dewang Chen .

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© 2019 Beijing Jiaotong University Press and Springer-Verlag GmbH Germany, part of Springer Nature

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Chen, D., Cheng, R. (2019). Data Reduction. In: Intelligent Processing Algorithms and Applications for GPS Positioning Data of Qinghai-Tibet Railway. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-58970-0_6

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  • DOI: https://doi.org/10.1007/978-3-662-58970-0_6

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