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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2010  >  10(6): 111-115
CAI Bo-gen, YAN Xi-hui, WANG Jian, SHANGGUAN Wei. Automatic identification algorithm of train track occupancy[J]. Journal of Traffic and Transportation Engineering, 2010, 10(6): 111-115. doi: 10.19818/j.cnki.1671-1637.2010.06.018
Citation: CAI Bo-gen, YAN Xi-hui, WANG Jian, SHANGGUAN Wei. Automatic identification algorithm of train track occupancy[J]. Journal of Traffic and Transportation Engineering, 2010, 10(6): 111-115. doi: 10.19818/j.cnki.1671-1637.2010.06.018
shu

Automatic identification algorithm of train track occupancy

doi: 10.19818/j.cnki.1671-1637.2010.06.018
  • 1.

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

  • 2.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

More Information
  • Author Bio:

    CAI Ba-igen(1966-),male, professor,PhD,+86-10-51687111,bgcai@bjtu.edu.cn

  • Received Date: 2010-06-27
  • Publish Date: 2010-12-25
    Abstract
  • In order to resolve the automatic identification problems of train track occupancy at turnouts and on parallel sections, a new automatic identification algorithm was proposed based on LTS-Hausdorff distance and D-S evidence theory. The reference template of track LTS-Hausdorff distance was established, the calculation process of LTS-Hausdorff distance and the decision method of automatic identification were analyzed, and the effects of train speed and search threshold on the algorithm were studied. Test result shows that when there are 10 track points, the results of the new algorithm and the maximum likelihood track identification decision are same. The higher train speed is, the less track points are, and the algorithm is still effective. The smaller search threshold is, the shorter the algorithm realizing time is. So the algorithm is valid.

     

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