• DocumentCode
    1835317
  • Title

    Application of Genetic Algorithm in Automatic Train Protection

  • Author

    Liu Xiao ; Zhang Ya-Dong ; Guo Jin

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    2
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    152
  • Lastpage
    154
  • Abstract
    Automatic train protection plays an important role in high-speed railway, to implement this function, train braking mode curve must be derived. The programming logic of traditional braking mode curve arithmetic is complex, and its precision is not enough. To overcome these shortcomings, a braking mode curve arithmetic Based on curve fitting using genetic algorithm is proposed. Fit train braking characteristic data, use the kinematic formula for calculus calculation, and then braking distance-velocity function is derived, therefore braking mode curve can easily be obtained. Matlab is used for calculation. Compare the process and result of this new method with the traditional one, we can find this method is more simple and precise.
  • Keywords
    braking; calculus; curve fitting; genetic algorithms; kinematics; logic programming; railway engineering; automatic train protection; braking mode curve arithmetic; calculus calculation; curve fitting; genetic algorithm; high-speed railway; kinematic formula; programming logic; Control systems; Curve fitting; Educational institutions; Equations; Genetic algorithms; Mathematical model; Rail transportation; braking distance; braking mode curve; calculus calculation; curve fitting; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.183
  • Filename
    6642711