GNSS/INS integrated navigation system is the development trend of railway satellite positioning. However, there are many dense forests, mountains and tunnels in the railway environment, which will affect the satellite signals during the operation of the train, so that the positioning error of the INS rapidly diverges, and eventually the entire system fails. In order to solve this problem, this paper combines ANFIS with strong self-learning ability with GNSS/INS, and proposes a seamless train positioning method based on self-learning (GNSS/ANFIS/INS). The above method is applied to the Shuozhou-Huanghua railway, and the analysis of the test results shows that the method can effectively reduce the positioning error and velocity error in the case of GNSS failure. Compared with only INS, the RMSE of position and velocity are reduced by approximately 85% and 75%, respectively.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    ANFIS-Based Seamless Train Positioning Method


    Contributors:
    Chen, Yidi (author) / Jiang, Wei (author) / Wang, Jian (author) / Cai, Baigen (author) / Jiang, Yiping (author)


    Publication date :

    2022-10-08


    Size :

    2339329 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Seamless Train Positioning Method Based on Visual Place Recognition

    Liu, Yongqiang / Jiang, Wei / Hu, Xiao et al. | IEEE | 2024



    Train positioning system and train positioning method

    HE JIABIN | European Patent Office | 2021

    Free access

    Train positioning method

    ZHANG GANG / LIU ZHIGANG / CHEN JIE et al. | European Patent Office | 2021

    Free access

    Train positioning method

    WU SONGRONG / WEI RUOYU / ZHENG YINGJIE et al. | European Patent Office | 2020

    Free access