The Interpolation Method for the missing AIS Data of Ship

• 발행기관: 한국항해항만학회
• 저자명: Van-Suong Nguyen Nam-kyun Im Sang-min Lee
• 간행물 정보: 『한국항해항만학회지』제39권 제5호, 377~384쪽, 전체 8쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2015.10.30

영문 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.

목차

1. Introduction

2. The requirement of transmitting AIS data for autonomous mode

3. Numerical method for interpolation missing AIS data of ship

4. Numerical experiment and results comparison

5. Conclusion

키워드

AIS dynamic data ship trajectory numerical method marine accident maritime traffic safety