The paper provides rationale for the technological and technical foundations of data support automation for decision-making by a traffic controller, who controls train traffic and local performance in their subdivision. The traffic controller solves the most complex tasks in case of significant out-of-schedule train traffic unexpectedly caused by delays, changes in governed speed and other reasons. In such a case, the controller needs to change train overtaking stations specified in the tight run profile, predict random time of train arrival at stations of the subdivision relying on the knowledge of local conditions and experience. Speed-time-distance calculations are expected to improve the accuracy of train performance prediction, which will allow overtake stations to be identified based on the criteria of reduced stops of overtaken trains and avoided delays of overtaking ones. Established regularities and irregularities serve as a basis for creating an automated train management system, which constitutes the middle level of the hierarchy of rail traffic process control systems.


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    Titel :

    Technological Foundations of Traffic Controller Data Support Automation


    Beteiligte:


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    227517 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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