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Dynamic Fuzzy Ship Domain Considering the Factors of Own Ship and Other Ships

Published online by Cambridge University Press:  09 November 2018

Dan Zhou  and
Zhongyi Zheng
Dan Zhou*
Affiliation:
(Marine Engineering College, Dalian Maritime University, China)
Zhongyi Zheng
Affiliation:
(Marine Engineering College, Dalian Maritime University, China)
*
(E-mail: [email protected])
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Abstract

In this paper, we propose a novel dynamic fuzzy ship domain that considers factors associated with both one's own ship and other ships. This is in contrast to existing ship domain models that operate from the perspective of one's own ship, considering only the factors relevant to that ship. First, the domain was determined by considering the distance of the ships around one's own ship in different directions, which sufficiently accounts for factors associated with one's own ship and with the other ships. At the same time, the factors were chosen based on an analysis of their importance. Second, the domain was dynamic and modelled by establishing the relationship between the domain size and the chosen factors in different directions from one's own ship, obtained by using neural networking and wavelet decomposition. Third, the domain was developed using fuzzy sets related to different safety levels and this related the model to the practical applications of estimating spatial collision risk. The model was calibrated using Automatic Identification System (AIS) data of vessel movements in the Bohai Sea and the northern Yellow Sea. The reasonableness and the superiority of establishing a ship domain model considering the factors affecting both one's own ship and other ships were analysed, and the results show that the new model can determine the spatial collision risk of the navigational situation and is thus suitable for use as part of a ship collision avoidance system.

Keywords

Dynamic fuzzy ship domainNavigational safetyShip encounter
Type
Review Article
Information
The Journal of Navigation , Volume 72 , Issue 2 , March 2019 , pp. 467 - 482
Copyright
Copyright © The Royal Institute of Navigation 2018 

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References

REFERENCES

Abdel, E. M. (1981). Marine Traffic Organization in International Waters. Bremen. Proceedings of fourth international symposium on vessel traffic services.Google Scholar
Coldwell, T. G. (1983). Marine Traffic Behaviour in Restricted Waters. The Journal of Navigation, 36, 430–444.Google Scholar
Daubechies, I. (1998). Orthonormal based of compactly supported wavelets. Communications on pure and applied mathematics, 41, 909–916.Google Scholar
Davis, P. V., Dove, M. J. and Stockel, C. T. (1980). A Computer-Simulation of Marine Traffic Using Domains and Arenas. The Journal of Navigation, 33, 215–222.Google Scholar
Davis, P. V., Dove, M. J. and Stoekel, C. T. (1982). A computer simulation of multi-ship encounters. The Journal of Navigation, 35(2), 347–352.Google Scholar
Fujii, Y. and Tanaka, K. (1971). Traffic Capacity. The Journal of Navigation, 24, 543–552.Google Scholar
Goodwin, E. M. (1975). A Statistical Study of Ship Domains. The Journal of Navigation, 28, 328–344.Google Scholar
Hansen, M. G., Jensen, T. K., Lehn-Schiøler, T., Melchild, K., Rasmussen, F. M. and Ennemark, F. (2013). Empirical Ship Domain based on AIS Data. The Journal of Navigation, 66, 931–940.Google Scholar
Hsu, H. Z. (2014). Safety Domain Measurement for Vessels in an Overtaking Situation. International Journal of e-Navigation and Maritime Economy, 1, 29–38.Google Scholar
Kijima, K. and Furukawa, Y. (2003). Automatic Collision Avoidance System Using the Concept of Blocking Area. Proceedings of IFAC Conference on Manoeuvring and Control of Marine Craft, Girona, Spain.Google Scholar
Liu, S. M., Wang, N., Shao, Z. R. and Wu, Z. L. (2014). A Novel Dynamic Quaternion Ship Domain. 5th International Conference on Intelligent Control and Information Processing, Liaoning, Dalian.Google Scholar
Pietrzykowski, Z. and Uriasz, J. (2004). The ship domain in a deep-sea area[C]//Proceeding of the 3rd international conference on computer and IT application in the maritime industries. Siguenza, Spain:Elsevier science, 204–211.Google Scholar
Pietrzykowski, Z. (2008). Ship's Fuzzy Domain – a Criterion for Navigational Safety in Narrow Fairways. The Journal of Navigation, 61, 499–514.Google Scholar
Pietrzykowski, Z. and Uriasz, J. (2009). The Ship Domain – A Criterion of Navigational Safety Assessment in an Open Sea Area. The Journal of Navigation, 62, 93–108.Google Scholar
Svetak, J. (2009). Estimation of Ship Domain Zone. Promet-traffic & Transportation, 21, 1–6.Google Scholar
Tak, C. V. and Spaans, J. A. (1977). A Model for Calculating a Maritime Risk Criterion Number. The Journal of Navigation, 30, 287–295.Google Scholar
Toyota, S. and Fujii, Y. (1971). Marine Traffic Engineering. The Journal of Navigation, 24(1), 24–34.Google Scholar
Wang, N. (2010). An Intelligent Spatial Collision Risk Based on the Quaternion Ship Domain. The Journal of Navigation, 63, 733–749.Google Scholar
Wang, N. (2013). A Novel Analytical Framework for Dynamic Quaternion Ship Domains. The Journal of Navigation, 66, 265–281.Google Scholar
Wang, N., Meng, X. Y., Xu, Q. Y. and Wang, Z. W. (2009). A Unified Analytical Framework for Ship Domains. The Journal of Navigation, 62, 643–655.Google Scholar
Wang, X. K. (2014). Research of ship domain based on AIS data. Applied Mechanics and Materials, 644–650, 1698–1701.Google Scholar
Wang, Y. Y. (2016). An Empirically-Calibrated Ship Domain as a Safety Criterion for Navigation in Confined Waters. The Journal of Navigation, 69, 257–276.Google Scholar
Wielgosz, M. and Pietrzykowski, Z. (2012). Ship Domain in the Restricted Area – Analysis of the Influence of Ship Speed on the Shape and Size of the Domain. Scientific Journals of the Maritime University of Szczecin, 30(102), 138–142.Google Scholar
Zhao, J., Wu, Z. and Wang, F. (1993). Comments on Ship Domains. The Journal of Navigation, 46, 422–436.Google Scholar
Zheng, Z. Y. and Wu, Z. L. (2001). Space Collision Risk and its Model. Journal of Dalian Maritime University, 27, 1–4.Google Scholar
Zhou, D. and Zheng, Z, Y. (2017). Importance Analysis of the Effect Factors in Ship Domain of Good Visibility. Journal of Harbin Engineering University, 38, 20–24.Google Scholar
Zhu, X., Xu, H. and Lin, J. (2001). Domain and Its Model Based on Neural Networks. The Journal of Navigation, 54, 97–103.Google Scholar