Ship Maneuverability Index Identification Based AIS Data

doi:10.16182/j.issn1004731x.joss.201702023

Abstract

Abstract: A novel method of ship maneuverability index identification on the basis of Automatic Identification System (AIS) data was proposed. By decoding and processing the raw data of AIS, data of rate of turning (ROT) are re-constructed with application of cubic spline interpolation method. Time series spectrum analysis was introduced to select appropriate ROT data segment. Based on the ROT data segment, rudder angle information was obtained by using ship Voyage Data Recorder (VDR). To identify ship's maneuverability index, particle swarm optimization algorithm (PSO) was applied to obtain ship maneuvering parameters under the current speed. The result was compared with actual ship maneuvering index estimated by zigzag simulation experiment and cycle simulation experiment, which indicates that PSO can be introduced to identify ship maneuverability index.

Key words: automatic identification system (AIS), ship motion response model, cubic spline interpolation, power spectrum, particle swarm optimization, parameter Identification

CLC Number:

U661.33

Ning Fangxin, Xiong Yong, Mou Junmin, Huang Xingdong. Ship Maneuverability Index Identification Based AIS Data[J]. Journal of System Simulation, 2017, 29(2): 402-408.

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