Ship maneuverability index identification based AIS data
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 29, Issue: 2, Page: 402-408
2017
- 3Citations
- 47Usage
- 3Captures
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Metrics Details
- Citations3
- Citation Indexes3
- Usage47
- Downloads42
- Abstract Views5
- Captures3
- Readers3
Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85015220683&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.201702023; https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/23; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=3212&context=journal; https://dx.doi.org/10.16182/j.issn1004731x.joss.201702023; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.201702023; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=5927242&internal_id=5927242&from=elsevier
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