Ship Maneuverability Index Identification Based AIS Data

Authors

Fangxin Ning, 1. School of Navigation, Wuhan university of technology, Wuhan 430063, China; ;
Xiong Yong, 1. School of Navigation, Wuhan university of technology, Wuhan 430063, China; ;2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan university of technology, Wuhan 430063, China;
Junmin Mou, 1. School of Navigation, Wuhan university of technology, Wuhan 430063, China; ;2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan university of technology, Wuhan 430063, China;
Xingdong Huang, 1. School of Navigation, Wuhan university of technology, Wuhan 430063, China; ;

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.

Recommended Citation

Ning, Fangxin; Yong, Xiong; Mou, Junmin; and Huang, Xingdong (2020) "Ship Maneuverability Index Identification Based AIS Data," Journal of System Simulation: Vol. 29: Iss. 2, Article 23.
DOI: 10.16182/j.issn1004731x.joss.201702023
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/23

First Page

402

Revised Date

2016-08-03

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702023

Last Page

408

CLC

U661.33

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201702023