Information on the quality of ballasted track is normally collected from a track measurement vehicle operating on a monthly basis or otherwise periodically. Track deterioration in terms of alignment and vertical levels is normally predicted by time-series data collected up to a certain point, and subsequent maintenance work is undertaken based on the predetermined maintenance level of the track geometry classified according to its importance. In this regard, deterioration of track geometry based on time-series measurement data can be efficiently modeled by an online support vector regression (OSVR) scheme, and detailed investigation has been carried out to improve the previous work on batch-type prediction models of track geometry proposed by the authors. For such purposes, an incremental support vector regression (ISVR) model based on a Bayesian optimization scheme as well as an OSVR model are introduced in this paper, and the prediction results are compared with those obtained by a conventional machine learning model. The results show that the accuracy of the proposed model increases by approximately 20% compared with that of the conventional model, and the outcome can be applied to the optimal scheduling of track maintenance work.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Deterioration Prediction of Track Geometry Using Periodic Measurement Data and Incremental Support Vector Regression Model


    Contributors:


    Publication date :

    2019-10-31




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



    Modelling railway track geometry deterioration

    Jovanovic, Stanislav | Online Contents | 2011


    Modeling Track Geometry Degradation Using Support Vector Machine Technique

    Hu, Can / Liu, Xiang | British Library Conference Proceedings | 2016


    The Track Deterioration Model

    Tzanakakis, Konstantinos | Springer Verlag | 2013


    Demonstration of Mechanics-Based Track Geometry Deterioration Models

    Wilk, Stephen / Thompson, Hugh B. / Sussmann, Theodore R. et al. | Transportation Research Record | 2022


    Advancing Railway Asset Management Using Track Geometry Deterioration Modeling Visualization

    Sauni, Mikko / Luomala, Heikki / Kolisoja, Pauli et al. | ASCE | 2022

    Free access