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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Probability of Ship on Collision Courses Based on the New PAW Using MMG Model and AIS Data
1 Kobe University, Kobe, Japan
2 Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
3 Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
2 Shipbuilding Institute of Polytechnic Surabaya, Surabaya, Indonesia
3 Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
ABSTRACT: This paper proposes an estimation method for ships on collision courses taking crash astern maneuvers based on a new potential area of water (PAW) for maneuvering. A crash astern maneuver is an emergency option a ship can take when exposed to the risk of a collision with other ships that have lost control. However, lateral forces and yaw moments exerted by the reversing propeller, as well as the uncertainty of the initial speed and initial yaw rate, will move the ship out of the intended stopping position landing it in a dangerous area. A new PAW for crash astern maneuvers is thus introduced. The PAW is developed based on a probability density function of the initial yaw rate. Distributions of the yaw rates and speeds are analyzed from automatic identification system (AIS) data in Madura Strait, and estimated paths of the maneuvers are simulated using a mathematical maneuvering group model.
KEYWORDS: Anti-Collision, Automatic Identification System (AIS), AIS Data, Mathematical Model, Manoeuvring, Potential Area of Water (PAW), Crash Astern Maneuvers, Modeling of Maneuvering of Ships
REFERENCES
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Citation note:
Asmara I., Kobayashi E., Wakabayashi N., Artana KB: Probability of Ship on Collision Courses Based on the New PAW Using MMG Model and AIS Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 9, No. 1, doi:10.12716/1001.09.01.05, pp. 43-50, 2015
Authors in other databases:
Ei-ichi Kobayashi:
Nobukazu Wakabayashi:
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Ketut Buda Artana: