In recent years, the tram market has developed rapidly, and it is increasingly important to evaluate the safety detection and overall smoothness of the relevant lines. However, most of the relevant tests are in the stage of manual detection with low detection efficiency and low accuracy. In this paper, a set of algorithm for TQI of tram was developed. First, the weight coefficient distribution of track irregularity parameters in the traditional TQI model was improved by analytic hierarchy process. The massive track detection data were trained into a comprehensive prediction model by using big data technology, and the calculation and prediction of TQI of modern tram were realized, which provided a new idea and method for the modern track detection and evaluation method of tram.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Track quality detection method for grooved rail


    Contributors:
    Fan, Hongru (author) / Li, Chen (author) / He, Zhichao (author) / Bai, Yao (author) / Huo, Mingen (author) / Xie, Yong Jun (author)


    Publication date :

    2021-04-09


    Size :

    743982 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Grooved rail switch

    British Library Online Contents | 1997


    The new standard grooved girder rail sections

    Schreiber, Martin | Engineering Index Backfile | 1914


    GROOVED PASSENGER ASSIST STRAP WITH RAIL CLAMP

    European Patent Office | 2016

    Free access

    Assessing life-cycle costs for grooved rail

    Norbert, Frank / Uhrig, Roger | IuD Bahn | 2003