A Novel Fitting Model for Practical AIS Abnormal Data Repair in Inland River

Authors

  • Wei He School of Physics and Electronic Information Engineering, Minjiang University, China
  • Xinlong Liu School of Physics and Electronic Information Engineering, Minjiang University, China
  • Xiumin Chu National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, China
  • Zhiyuan Wang Fujian Engineering Research Center of Safety Control for Ship Intelligent Navigation, Minjiang University, China
  • Pawel Fracz Department of Manufacturing Engineering and Automation Products, Opole University of Technology, Poland
  • Zhixiong Li Yonsei Frontier Lab, Yonsei University, Republic of Korea

DOI:

https://doi.org/10.5755/j02.eie.27661

Keywords:

Inland waterway, AIS data, Abnormal data, Data repair, Least squares support vector machine

Abstract

Affected by the environment of inland waterway, an Automatic Identification System (AIS) collects lots of abnormal data, which significantly reduces the inland river navigation performance using AIS data. To this end, this paper aims to restore the AIS data by repairing the lost data points. By analysing enormous abnormal AIS data, the abnormal data were firstly divided into three types, i.e., the erroneous data, short-time lost data, and long-time lost data. Then, a cubic spline interpolation method was employed to deal with the erroneous data and short-time lost data. Meanwhile, a least square support vector machine method was utilized to repair the long-time lost data. Finally, field experiments were carried out to validate the applicability of the proposed method, and it is shown that the fitting model can repair the AIS data with an accuracy of more than 90 %.

Author Biography

Wei He, School of Physics and Electronic Information Engineering, Minjiang University, China

Dean of School of Physics and Electronic Information Engineering, Minjiang University

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Published

2021-02-25

How to Cite

He, W., Liu, X., Chu, X., Wang, Z., Fracz, P., & Li, Z. (2021). A Novel Fitting Model for Practical AIS Abnormal Data Repair in Inland River. Elektronika Ir Elektrotechnika, 27(1), 60-70. https://doi.org/10.5755/j02.eie.27661

Issue

Vol. 27 No. 1 (2021)

Section

SIGNAL TECHNOLOGY

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