@article{ref1,
title="Automatic identification algorithm of train track occupancy",
journal="Journal of traffic and transportation engineering (Xi'an, Shaanxi)",
year="2010",
author="Cai, Bai-Gen and Yan, Xi-Hui and Wang, Jian and Shangguan, Wei",
volume="10",
number="6",
pages="111-115+126",
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.<p />",
language="",
issn="1671-1637",
doi="",
url="http://dx.doi.org/"
}