Implementation of a preliminary inference algorithm for an automatic communication system

• Autorzy: Wójcik A. , Banaś P.

Identyfikatory

DOI

10.17402/118

• Języki publikacji: EN

Abstrakty

EN

One of the factors affecting a ship’s safety during its voyage is the ability to detect encounter situations. Navigators mostly use two parameters: closest point of approach (CPA) and time to CPA (TCPA). Their limit values, considered as safe, depend on the parameters of the vessel, geographic area, and weather conditions. These limits are set by the navigator and are based on his experience; however, in specific situations, there is a need to use other parameters, such as ship domain. It is very important for the automated communication system to determine the critical moment when intership communication should be started. The article presents an algorithm of automatic detection of situations where the communication should be initiated. The influence of data relating to the vessel, geographic area, and weather conditions can be taken into account. The output produced by the program, based on the authors’ algorithm, is presented.

Słowa kluczowe

EN

e-Navigation; ship encounter situations; automatic communication; inference methods; collision avoidance

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2016
• Tom: nr 46 (118)
• Strony: 54--57
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Wójcik A.

• Maritime University of Szczecin 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland

autor

Banaś P.

• Maritime University of Szczecin 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland

Bibliografia

• 1. Banaś, P., Wójcik, A. & Pietrzykowski, Z. (2013) Model of Inference Processes in the Automatic Maritime Communication System. Activities of Transport Telematics. Communications in Computer and Information Science 395. pp 7–14, Berlin Heidelberg: Springer.
• 2. Pietrzykowski, Z., Banaś, P., Wójcik, A. & Szewczuk, T. (2014) Information exchange automation in maritime transport. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 8 (2). pp. 189–193.
• 3. Pietrzykowski, Z., Chomski, J., Magaj, J. & Niemczyk G. (2006) Exchange and Interpretation of Messages in Ships Communication and Cooperation System. Advanced in Transport Systems Telematics, Ed. J. Mikulski, pp. 313–320, Katowice: Publisher Jacek Skalmierski Computer Studio.
• 4. Pietrzykowski, Z., Szewczuk, T., Wójcik, A. & Banaś, P. (2013) Reasoning Processes in Automatic Marine Communication System (in Polish). Scientific Papers of Warsaw University of Technology 95 (Transport), Warszawa: Oficyna Wydawnicza PW. pp. 421–431.
• 5. Pietrzykowski, Z. & Uriasz, J. (2009) The ship domain – a criterion of navigational safety assessment in an open sea area. Journal of Navigation 62 (01). pp. 93–108.
• 6. Wójcik, A., Banaś, P. & Pietrzykowski, Z. (2014) Schema of Inference Processes in a Preliminary Identification of Navigational Situation in Maritime Transport. Telematics – Support for Transport. Communications in Computer and Information Science 471. pp. 130–136, Berlin Heidelberg: Springer.

Uwagi

PL

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