Studying Probability of Ship Arrival of Yangshan Port with AIS (Automatic Identification System)

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.

• Record URL:
  http://www.transnav.eu/Article_Studying_Probability_of_Ship_Arrival_,19,296.html
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/20836473
• Supplemental Notes:
  • Copyright © 2011 HlaingYin, N. N. et al
• Authors:
  • Ni Ni, HlaingYin
  • Hu, Qinyou
  • Shi, Chaojian
• Publication Date: 2011-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 291-294
• Serial:
  • TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
  • Volume: 5
  • Issue Number: 3
  • Publisher: Akademia Morska w Gdyni
  • ISSN: 2083-6473
  • EISSN: 2083-6481
  • Serial URL: http://www.transnav.eu/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Arrivals and departures; Identification systems; Poisson distributions; Port operations; Ships
• Identifier Terms: Yangshan Port (China)
• Uncontrolled Terms: Arrival predictability
• Geographic Terms: China
• Subject Areas: Marine Transportation; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01496248
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 3 2013 3:27PM