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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
Studying Probability of Ship Arrival of Yangshan Port with AIS (Automatic Identification System)
1 Shanghai Maritime University, Shanghai, China
2 Myanmar Maritime University, Yangon Region, Thanlyin, Myanmar
2 Myanmar Maritime University, Yangon Region, Thanlyin, Myanmar
ABSTRACT: The distribution pattern is considered to be a poission distribution for periodical schedule. The evolution of the ship arrival distribution patterns and the x2 fit test for observation are based on the ship dynamic data of international harbour in Yangshan. AIS (Automatic Identification System) is used the frequency of ship arrivals in this study .This study aims to implement the test for performance of ship arrival distributions and theirs probabilities. The ship arrival distribution in the spread sheet simulation systems was found to follow poission distribution; its frequency distribution is changed by observation system, tends to change the system?s of the probabilities.
KEYWORDS: Safety at Sea, Automatic Identification System (AIS), Marine Traffic Engineering (MTE), Traffic Control, Port of Yangshan, Ship Arrival, Probability of Ship Arrival, Ship Arrival Distributions
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Citation note:
Ni Ni H.Y., Hu Q., Shi C.J.: Studying Probability of Ship Arrival of Yangshan Port with AIS (Automatic Identification System). TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 3, pp. 291-294, 2011
Other publications of authors:
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