NDLI: A novel automatic track identification algorithm based on LTS-Hausdorff distance

Content Provider	IEEE Xplore Digital Library
Author	Yan Xi-Hui Wang Jian Cai Bai-gen Shangguan Wei
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Rail Traffic Control and Safety, and School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China (Wang Jian; Shangguan Wei) \|\| School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044 China (Yan Xi-Hui; Cai Bai-gen)
Abstract	Train locating information is very important for train control system, how to achieve automatic identification of train track occupancy using GNSS simply in some railway sections without track circuits has been a crucial problem. Hausdorff distance can be used to measure the mismatch between two sets, which is widely used in object matching. This paper presents a novel algorithm for automatic identification of train track occupancy based on LTS-Hausdorff distance and D-S evidence theory. The LTS-Hausdorff distance reference template of railway track was established, the calculation process of LTS-Hausdorff distance and the identify strategy of train track occupancy based on D-S evidence theory were studied. Test results show that the algorithm is efficient and can achieve automatic track identification in low cost.
Starting Page	1984
Ending Page	1988
File Size	189780
Page Count	5
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6082896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rail transportation Global Positioning System Global Navigation Satellite Systems Algorithm design and analysis Safety Educational institutions Rails
Content Type	Text
Resource Type	Article

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