Onboard train positioning plays a vital safety critical role in advanced automatic train control (ATC) and automatic train protection (ATP) systems. Such onboard systems are also essential for moving block signalling and control systems for railways. The application of multisensor fusion algorithms to the vehicle navigation field has made it possible to create inexpensive and accurate positioning systems, which will satisfy the railways requirements. The state estimation methods involved in Kalman filtering have proved to be some of the most effective techniques in multisensor data fusion. A multisensor navigation system is introduced in this paper to address the shortcomings of the existing train positioning systems. The proposed system utilizes the Global Positioning System (GPS), Doppler radar, gyroscopes, tachometers, digital maps and Balises. In order to provide fault detection and isolation capabilities, a hierarchical structure is proposed for the multisensor integration system in which different combinations of navigation systems would function. Several data integration nodes, including DR/GPS, DR/Balise, and DR/GPS/Balise, are studied in more detail and their performances are evaluated.


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    Titel :

    Multisensor integration methods in the development of a fault-tolerant train navigation system


    Beteiligte:
    Mirabadi, A. (Autor:in) / Schmid, F. (Autor:in) / Mort, N. (Autor:in)

    Erschienen in:

    The Journal of Navigation ; 56 , 3 ; 385-398


    Erscheinungsdatum :

    2003


    Format / Umfang :

    14 Seiten, 7 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





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