• DocumentCode
    654953
  • Title

    Dependability evaluation of a GNSS and ECS based localisation unit for railway vehicles

  • Author

    Nguyen, T. P. Khanh ; Beugin, J. ; Marais, J.

  • Author_Institution
    COmponents & Syst. Dept., Univ. Lille Nord de France, Villeneuve-d´Ascq, France
  • fYear
    2013
  • fDate
    5-7 Nov. 2013
  • Firstpage
    474
  • Lastpage
    479
  • Abstract
    Today, GNSS-based solutions (Global Navigation Satellite Systems) facilitate the implementation of the train localisation function on-board the vehicle. In the railway context, as a train has to travel different zones on its itinerary, multiple obstacles in these environments can cause different signal perturbations: multipaths, signal delays and masking phenomena that lead to negative consequences on the position accuracy. To reinforce the position quality, a localisation system, developed in the GaLoROI european Project and based on the combination of sensors such as a GNSS receiver and an Eddy Current Sensor, is studied. In this paper, we present a procedure and a model, which aims at evaluating the dependability of this system under local impacts of different railway environments. It allows us analysing complex behaviours of the sensor fusion component on the availability and accuracy of data provided by GNSS & ECS sub-systems and also to take into account the reliability parameters of hardware components.
  • Keywords
    eddy currents; electric sensing devices; rail traffic; satellite navigation; sensor fusion; ECS; GNSS; GaLoROI European project; Global Navigation Satellite System; dependability evaluation; eddy current sensor; localisation system; localisation unit for railway vehicles; position quality; railway context; train localisation function; Data models; Global Positioning System; Lead; Rail transportation; Receivers; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ITS Telecommunications (ITST), 2013 13th International Conference on
  • Conference_Location
    Tampere
  • Type

    conf

  • DOI
    10.1109/ITST.2013.6685591
  • Filename
    6685591