Railway track curvature is a critical parameter, which directly affects vehicle–track dynamics, such as running speed and wheel–rail interaction. Therefore, knowing track curvature can help wagon operators better understand the running condition of vehicles and further take effective measures to monitor or maintain their health. This paper aims to predict horizontal track curvature by using OpenStreetMap (OSM), an open and free geographic database. A field test was carried out when a train was operated on the Blankenburg–Bernburg railway line in Germany. At first, the running trajectory of the vehicle is measured by the GPS sensor with a frequency of 5 Hz and then it is converted to Cartesian coordinates, where the curvature of the trajectory is calculated. Second, an improved method to increase the accuracy by integrating with the OSM database is proposed, and the procedure of this improved method is presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of Railway Track Curvature Using OpenStreetMap


    Contributors:
    Zhou, Yichang (author) / Ren, Zunsong (author) / Ye, Yunguang (author) / Hecht, Markus (author)

    Conference:

    Third International Conference on Rail Transportation ; 2024 ; Shanghai, China


    Published in:

    ICRT 2024 ; 247-251


    Publication date :

    2025-03-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Horizontal curvature estimation of tram tracks using OpenStreetMap

    Bettinger, Tobias / Leibner, Philipp / Schindler, Christian | SAGE Publications | 2023


    Digital maps for railway applications based on OpenStreetMap data

    Rahmig, Christian / Kluge, Andreas | IEEE | 2013



    OpenStreetMap for traffic simulation

    Zilske, Michael / Neumann, Andreas / Nagel, Kai | DataCite | 2011

    Free access

    Railway track irregularity and curvature estimation using doppler LIDAR fiber optics

    Taheri Andani, Masood / Peterson, Andrew / Munoz, Josh et al. | SAGE Publications | 2018