Research On a Hybrid Map Matching Algorithm for Global Navigation Satellite System Based Train Positioning

This paper on the use of Global Navigation Satellite Systems (GNSS) for train positioning is from the proceedings of the 12th International Conference on Computer System Design and Operation in Railways and Other Transit Systems, held in Beijing, China, in 2010. The authors maintain that GNSS has been shown to have great potential for Safety-of-Life critical rail applications, particularly for train control applications and railway signaling. They explain how the structure of an electrical track map database can be designed with precision and efficiency. They introduce the architecture of a GNSS-based train positioning system that integrates INS sensors and propose a novel hybrid map-matching algorithm. In this algorithm, the determined train position is the integration of the position solution from multi-sensor fusion, the identification of the similarity or matching probability, and heading validation, with different track map levels. These techniques are used to limit some systematic and random errors as well as to improve positioning precision and integrity performance. As both "point-to-curve" and "point-to-point" matching strategies are incorporated with the track map data, the adaptive performance and completeness of the map matching algorithm is guaranteed and improved. The authors report on a field test in the Qinghai-Tibet rail line that demonstrates that the proposed algorithm earns high position decision accuracy and integrity with simple implementation.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References;
  • Pagination: pp 59-70
  • Monograph Title: Computers in Railways XII. Computer System Design and Operation in Railways and Other Transit Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01173697
  • Record Type: Publication
  • ISBN: 9781845644680
  • Files: TRIS
  • Created Date: Sep 27 2010 9:55AM