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

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Uwagi

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