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2022 Journal Impact Factor - 0.6
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ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
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
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.
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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

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