• DocumentCode
    1910008
  • Title

    Research and Application of Variational Curve Model in Limited Restriction Condition

  • Author

    Wei, ShangGuan ; Jian, Wang ; Bai-gen, Cai ; Chen-xi, Gou

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    164
  • Lastpage
    167
  • Abstract
    Research of variational curve model in limited restriction condition and application in rail train control track database was studied in this paper, raised the method, model and algorithm for digital track map auto-generation from GPS track data, through lots of testify, comparison and improvement using practical data between those algorithm and method, aim at track data, construct mathematical model of data reduction, analyze the limited restriction condition of practical train operation situation, and studied the curve evolution theory, using the algorithm base on variational curve model evolution theory to realize data reduction and error deletion, obtain a few key data automatically to describe rail track in a certain satisfactory error condition, improve the track database automatic generation and optimization method, realize real-time and precise positioning of rail control system base on GPS.
  • Keywords
    data reduction; database management systems; evolutionary computation; railway engineering; variational techniques; GPS track data; curve evolution theory; data reduction; digital track map autogeneration; error deletion; limited restriction condition; mathematical model; optimization method; rail train control track database; track database automatic generation; variational curve model evolution theory; Algorithm design and analysis; Automatic testing; Data analysis; Databases; Error correction; Global Positioning System; Mathematical model; Optimization methods; Rails; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.277
  • Filename
    5288211