• DocumentCode
    2675981
  • Title

    Intelligent train dispatching for high-speed railway based on Fuzzy Neural Network

  • Author

    Sun, Jingdong ; Wang, Shunli

  • Author_Institution
    Dept. of Traffic & Transp., Southwest Jiaotong Univ., Chengdu, China
  • Volume
    4
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    222
  • Lastpage
    225
  • Abstract
    Through detailed analysis of train operation control procedure of high-speed railway, in view of the present condition of Fuzzy Neural Network (FNN) in train operation control, a new model of train operation adjustment on the FNN is developed, Five levels fuzzy neural network were built and its input and output were designed, the weighing and parameters were revised in order to get different membership function, then corresponding fuzzy rule and could execute fusion decision could be got in the new method. Furthermore, The simulation perception processing of train operation adjustment was completed using Matlab, the mean square error between actual output and experiments output was got The simulation results show that the validity of train operation control procedure of high-speed railway based on FNN.
  • Keywords
    fuzzy neural nets; knowledge based systems; mathematics computing; mean square error methods; railways; Matlab; fusion decision; fuzzy neural network; fuzzy rule; high-speed railway; intelligent train dispatching; mean square error; simulation perception processing; train operation adjustment; train operation control; Communication system traffic control; Dispatching; Electronic mail; Fuzzy control; Fuzzy neural networks; Intelligent networks; Intelligent transportation systems; Mathematical model; Rail transportation; Railway safety; dispatch; fuzzy neural network; high-speed railway; intelligent transportation; train operation adjustment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486936
  • Filename
    5486936