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The Interpolation Method for the missing AIS Data of Ship

  • Nguyen, Van-Suong (Division of Maritime Transportation System, Graduate school of Mokpo National Maritime University) ;
  • Im, Nam-kyun (Division of Maritime Transportation System, Mokpo National Maritime University) ;
  • Lee, Sang-min (Dept. of Marine Science and production, Kunsan National University)
  • 투고 : 2015.03.10
  • 심사 : 2015.10.14
  • 발행 : 2015.10.31

초록

The interpolation of missing AIS data can be used for recovering the lost data of a ship's state which is then able to produce useful information for VTS stations or other ships. Previous research has introduced some interpolating methods however there are some problems with regard to missing AIS data. This paper proposes one new method which includes linear interpolation, cubic Hermit interpolation and an identification mechanism to overcome some of those limitations, first AIS data regarding ship position, COG, SOG and HDG is divided into separate time series, then the characteristic of the missing data is investigated into through using an identification mechanism, an appropriate interpolation is selected to fit all the time series which matches the characteristics. Numerical experiments are carried out using real AIS data to validate the algorithm of this approach and the results are compared with the previous method, after which the actual missing area is suggested to be interpolated by the proposed method. The interpolation results show this approach can be applied well in practice.

키워드

참고문헌

  1. Hu, Q. Cai, F. Yang, C. and Shi, C.(2014), "An Algorithms for interpolating the ship motion vector", the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 8, No. 1, pp. 35-40. https://doi.org/10.12716/1001.08.01.04
  2. IEC61993-2.(2001), "Part 2: Class A shipborne equipment of the universalautomatic identification system (AIS) Operational and performance requirements, methods of test and required test results," Int. Elec. Committee.
  3. John, h. M and Kurtis D. F.(2004), "Numerical Method using in Matlab".
  4. Karl, G. and Moan, T.(2009), "Estimating Navigation Patterns from AIS", The Journal of Navigation, Vol. 62, Issue 04, pp. 587-607. https://doi.org/10.1017/S0373463309990129
  5. Lin, F.(2007), "Chapter 3: Piecewise Polynomial Interpolation".
  6. Perera, P. and Carlos, G. S.(2010), "Ocean Vessel Trajectory Estimation and Prediction Based on Extended Kalman Filter", The Second International Conference on Adaptive and Self-Adaptive Systems and Applications, pp. 14 -20.
  7. Xu, T. Liu, X. and Yang, X.(2012), ''A Novel Approach for Ship Trajectory Online Prediction Using BP Neural Network Algorithm'', Advances in information Sciences and Service Sciences, Vol. 4, No. 11.