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Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 387857, 15 pages
Track Irregularity Time Series Analysis and Trend Forecasting
1State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
2School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Received 27 August 2012; Revised 27 October 2012; Accepted 27 October 2012
Academic Editor: Wuhong Wang
Copyright © 2012 Jia Chaolong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [3 citations]
The following is the list of published articles that have cited the current article.
- Hn Wang Hanning, Wx Xu Weixiang, Jiulin Yang, Lili Wei, and Jl Jia Chaolong, “Efficient Processing of Continuous Skyline Query over Smarter Traffic Data Stream for Cloud Computing,” Discrete Dynamics in Nature and Society, 2013.
- Jia Chaolong, Xu Weixiang, Wei Lili, and Wang Hanning, “Study of Railway Track Irregularity Standard Deviation Time Series Based on Data Mining and Linear Model,” Mathematical Problems in Engineering, vol. 2013, pp. 1–12, 2013.
- Hanning Wang, Weixiang Xu, Dongyan Xu, Lili Wei, and Chaolong Jia, “Continuous Distributed Top-k Monitoring over High-Speed Rail Data Stream in Cloud Computing Environment,” Advances in Mechanical Engineering, 2013.