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CPA Calculation Method based on AIS Position Prediction

Published online by Cambridge University Press:  19 April 2016

Ling-zhi Sang ,
Xin-ping Yan ,
Alan Wall ,
Jin Wang  and
Zhe Mao
Ling-zhi Sang*
Affiliation:
(China Transport Telecommunications and Information Center (CTTIC), Anwaiwaiguan Houshen Street, Beijing, 10011, P.R China) (National Engineering Laboratory of Transport Safety and Emergency Informatics, Anwaiwaiguan Houshen Street, Beijing, 10011, P.R China)
Xin-ping Yan
Affiliation:
(National Engineering Laboratory of Transport Safety and Emergency Informatics, Anwaiwaiguan Houshen Street, Beijing, 10011, P.R China) (Intelligent Transport Systems Research Center (ITSC), Wuhan University of Technology, 1040, Heping Avenue, Wuhan, Hubei 430063, PR China)
Alan Wall
Affiliation:
(Liverpool Logistics, Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool, L3 3AF, UK)
Jin Wang
Affiliation:
(Liverpool Logistics, Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool, L3 3AF, UK)
Zhe Mao
Affiliation:
(National Engineering Laboratory of Transport Safety and Emergency Informatics, Anwaiwaiguan Houshen Street, Beijing, 10011, P.R China) (Intelligent Transport Systems Research Center (ITSC), Wuhan University of Technology, 1040, Heping Avenue, Wuhan, Hubei 430063, PR China)
*
(E-mail: [email protected])
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Abstract

The information on the Closest Point of Approach (CPA) of another vessel to own ship is required in a potential collision situation as it helps determines the risk to each vessel. CPA is usually calculated based on the speed and direction of the approaching ship neglecting the Change Of Speed (COS) and the Rate Of Turn (ROT). This will make the CPA less useful. To improve the CPA calculation, Automatic Identification System (AIS) information containing the Speed Over Ground (SOG), Course Over Ground (COG), COS and ROT is used. Firstly, a model using these four factors is built to predict ship positions better. Secondly, a three-step CPA searching method is developed. The developed CPA calculation method can assist in informing the navigation decisions and reducing unnecessary manoeuvres. Through the analysis of a real collision scenario, this paper shows that the proposed method can help identify and warn of anomalous ship behaviours in a realistic time frame.

Keywords

ShipClosest Point of Approach (CPA)PredictAutomatic Identification System (AIS)
Type
Research Article
Information
The Journal of Navigation , Volume 69 , Issue 6 , November 2016 , pp. 1409 - 1426
Copyright
Copyright © The Royal Institute of Navigation 2016 

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References

REFERENCES

American National Institute of Standards and Technology. (2012). NIST/SEMATECH E-Handbook of Statistical Methods. http://www.itl.nist.gov/div898/handbook/ Google Scholar
Bole, A., Wall, A. and Norris, A. (2014). Radar and ARPA Manual, 3rd Edition. Elsevier: Oxford.Google Scholar
Chin, H.C. and Debnath, A.K. (2009). Modeling perceived collision risk in port water navigation. Safety Science, 47(10), 1410–1416.Google Scholar
Choi, H., Kim, Y., Lee, Y. and Kim, E.T. (2013a). A reactive collision avoidance algorithm for multiple midair unmanned aerial vehicles. Transactions of the Japan Society for Aeronautical and Space Sciences, 56(1), 15–24.CrossRefGoogle Scholar
Choi, H., Kim, Y. and Hwang, I. (2013b). Reactive collision avoidance of unmanned aerial vehicles using a single vision sensor. Journal of Guidance, Control & Dynamics, 36(4), 1234–1240.Google Scholar
Hasberg, C., Hensel, S., Westenkirchner, M. and Bach, K. (2008). Integrating spline curves in road constraint object tracking. Proceedings of the 11th IEEE International Conference on Intelligent Transportation Systems, Beijing, P. R. China.Google Scholar
Hilgert, H. and Baldauf, M. (1997). A common risk model for the assessment of encounter situations on board ships. Ocean Dynamics, 49(4), 531–542.Google Scholar
Holt, C.C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5–10.Google Scholar
Huang, C.M. and Lin, S.Y. (2012). An early collision warning algorithm for vehicles based on V2 V communication. International Journal of Communication Systems, 25(6), 779–795.Google Scholar
International Maritime Organization. (1972). The convention on the international regulations for preventing collisions at sea (COLREGS).Google Scholar
International Telecommunication Union (ITU). (2014). Technical characteristics for an automatic identification system using time division multiple access in the VHF maritime mobile frequency band.Google Scholar
Jeong, J.S., Park, G. and Kim, K. (2013). Maritime traffic characteristics in waterway with time variant CPA. Annual of Navigation, 20(1), 49–58.Google Scholar
Kiefer, J. (1953). Sequential minimax search for a maximum. American Mathematical Society, 4(3), 502–506.Google Scholar
Kim, Y., Lee, S., Lee, K. and Kang, J.Y. (2013). A development of 3-D resolution algorithm for aircraft collision avoidance. International Journal of Aeronautical and Space Science, 14(3), 272–281.Google Scholar
Mou, J.M., Tak, C. and Ligteringen, H. (2010). Study on collision avoidance in busy waterways by using AIS data. Ocean Engineering, 37(5–6), 483–490.CrossRefGoogle Scholar
Pimontel, L.A. (2007). A study into maritime collision probability. Delft University of Technology, Delft.Google Scholar
Sameshima, N. (1961). Error of the closest point of approach. Journal of Navigation, 14(2), 230–232.Google Scholar
Sang, L., Wall, A., Mao, Z., Yan, X. and Wang, J. (2015). A novel method for restoring the trajectory of the inland waterway ship by using AIS data. Ocean Engineering, 110 Part A, 183–194.Google Scholar
Storey, C. (1962). Application of a hill climbing method of optimization. Chemical Engineering Science, 17(1), 45–52.Google Scholar
Veness, C. (2012). Movable Type Scripts: Calculate Distance, Bearing and more between Latitude/Longitude Points. http://www.movable-type.co.uk/scripts/latlong.html.Google Scholar
Winters, P.R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6(3), 324–342.Google Scholar