Identifying and Analyzing Safety Critical Maneuvers from High Resolution AIS Data

• Autorzy: Mestl T. , Tallakstad K.T. , Castberg R.

Identyfikatory

DOI

10.12716/1001.10.01.07

• Języki publikacji: EN

Abstrakty

EN

We demonstrate the value in previously disregarded parameters in AIS data, and present a novel way of quickly identifying and characterizing potentially safety critical situations for vessels with a properly configured AIS transponder. The traditional approach of studying (near) collision situations, is through vessel conflict zones, based on vessel location and speed from low resolution AIS data. Our approach utilizes the rate of turn parameter in the AIS signal, at maximum time resolution. From collision investigation reports it is often seen that prior to or at collision navigators perform frenetic rudder actions in the hope to avoid collision in the last second. These hard maneuverings are easily spotted as non-normal rate of turn signals. An identified potential critical situation may then be further characterized by the occurring centripetal acceleration a vessel is exposed to. We demonstrate the novelty of our methodology in a case study of a real ship collision. As the rate of turn parameter is directly linkable to the navigator behavior it provides information about when and to what degree actions were taken. We believe our work will therefore inspire new research on safety and human factors as a risk profiles could be derived based on AIS data.

Słowa kluczowe

EN

AIS Data; Automatic Identification System (AIS); High Resolution AIS Data; Critical Maneuvers; 1-2-3 Rule; vessel traffic service (VTS); AIS Transponder; Safety of Navigation

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2016
• Tom: Vol. 10, no. 1
• Strony: 69--77
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Mestl T.

• DNV‐GL, Research and Innovation ‐ IT Analytics, Høvik, Norway

autor

Tallakstad K.T.

• DNV‐GL, Research and Innovation ‐ IT Analytics, Høvik, Norway

autor

Castberg R.

• DNV‐GL, Research and Innovation ‐ IT Analytics, Høvik, Norway

Bibliografia

• 1. Aarsæther, K., & Moan, T. (2007). Combined maneuveringanalysis, ais and full‐mission simulation. InternationalJournal on Marine Navigation and Safety of Sea Transportation, 1 , 31–26.
• 2. Bertram, V. (2000). Practical Ship Hydrodynamics. Oxford: Butterworth ‐ Heinemann.
• 3 Coldwell, T. (1983). Marine traffic behaviour in restricted waters. The Journal of Navigation, 36 , 431–444.
• 4 Felski, A., & Jaskolski, K. (2012). Information unfitness as a factor constraining automatic identification system (ais) application to anti‐collision manoeuvring. POLISH MARITIME RESEARCH , 19 , 60–64.
• 5 Fujii, Y., & Tanaka, K. (1971). Traffic capacity. Journal of Navigation, 24, 543–552. URL: http://journals.cambridge.org/article S0373463300022384. doi:10.1017/S0373463300022384.
• 6 Goerlandt, F., Montewka, J., Sonne Ravn, E., Hanninen, M., & Mazaheri, A. (2012). EfficienSea ‐ analysis of the nearcollisions using AIS data for the selected locations in the Baltic Sea. URL: http://www.efficiensea.org.
• 7 Goodwin, E. M. (1975). A statistical study of ship domains. Journal of Navigation, 28 , 328–344. URL:http://journals.cambridge.org/article S0373463300041230. doi:10.1017/S0373463300041230.
• 8 Hoogendoorn, S., Daamen, W., & Shu, Y. (2013). Modeling human behavior in vessel maneuver simulation by optimal control and game theory. Transportation Research Record: Journal of the Transportation Research Board , 2326 , 45–53.
• 9 Kao, S., Lee, K.‐T., Chang, K.‐Y., & Ko, M.‐D. (2007). A fuzzy logic method for collision avoidance in vessel traffic service. The Journal of Navigation, 60 , 17–31.
• 10 Llana, C. B., & Wisneskey, G. P. (1991). Handbook of the nautical rules of the road . Naval Institute Press.
• 11 Mestl, T., Anderssen, T., Zachrisen, M., & Hjøllo, B. °A. (2008). Towards the collaborative sea. European Journal of Navigation, 6 , 14–16.
• 12 Montewka, J., Goerlandt, F., Lammi, H., & Kujala, P. (2011). A method for assaessing a causation factor for a geometrical mdtc model for ship‐ship collision probability estimation. TransNav , 5 , 365–373.
• 13 Pedersen, P. (1995). Collision and grounding mechanics. The Danish Society of Naval Architects and Marine Engineers, (pp. 125–157).
• 14 Pietrzykowski, Z. (2008). Ships fuzzy domain a criterion for navigational safety in narrow fairways. The Journal of Navigation, 62 , 499–514.
• 15 Pietrzykowski, Z., & Uriasz, J. (2009). The ship domain a criterion of navigational safety assessment in an sea area. The Journal of Navigation, 61 , 93–108.
• 16 Rawson, K. J., & Tupper, E. C. (2001). Basic ship theory: ship dynamics and design VOL. 2 . Oxford: Butterworth‐ Heinemann.
• 17 Sturt, R. H. B. (1991). The collision regulations. New York, N.Y: Lloyd’s of London Press.
• 18 IMO (1972). COLREG preventing collisions at sea. URL: http://www.imo.org/en/OurWork/Safety/Navigation/Pages/Preventing‐Collisions.aspx.
• 19 IMO (2003). Guidelines for the installation of a shipborne automatic identification system (AIS). URL: http://www.imo.org/en/OurWork/Safety/Navigation/Documents/227.pdf.
• 20 IMO (2008). MSC‐MEPC.7/Circ.7 ‐ Guidance On Near‐MissReporting.http://www.safety4sea.com/images/media/pdf/2010.10.2 5 IMO%20Guidance%20‐%20near‐misses%20‐%20MSCMEPC. 7.pdf.
• 21 IMO (2015). IMO Sub‐committee on navigation, Communications and Search and Rescue ‐ a study on ship operator centred collision prevention and alarm system. URL: NCSR2/INF.10.
• 22 The Transportation Safety Board of Canada (1998). Nearcollision, between the cruise ship ”STATENDAM” and the tug/barge unit ”BELLEISLE SOUND”/”RADIUM 622”, Marine Occurrence Report M96W0187. URL:\ http://www.bst‐tsb.gc.ca/eng/rapportsreports/ marine/1996/m96w0187/m96w0187.pdf.
• 23 Wang, N., Meng, X., Xu, Q., & Wang, Z. (2009). A unified analytical framework for ship domains. The Journal of Navigation, 62 , 643–655.
• 24 Wikipedia (2015). Automatic Identification System. URL: https://en.wikipedia.org/wiki/Automatic Identification System.
• 25 Zhang, W., Goerlandt, F., Montewka, J., & Kujala, P. (2015). A method for detecting possible near miss ship collisions from AIS data. Ocean Engineering, 107 , 60–69.
• 26 Zhao, J., Wu, Z., & Wang, F. (1993). Comments on ship domains. The Journal of Navigation, 46 , 422–436.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.