THE STATISTICAL ANALYSIS OF THE VOYAGE DATA OF THREE FAST CARGO SHIPS

Speed, power and weather data has been collected aboard two fast North Atlantic container ships, the M.V. Dart Atlantic, operated by Bibby Line Ltd, and the GTV Euroliner, operated by Denholm Ship Management Ltd. In both cases the period of collection was about three weeks. In addition, eight months data extracted from the deck and engine room log book of a fast cargo ship were made available. These three sets of data have been analysed using multiple regression techniques, with speed as the dependent variable. Significant speed variations with time, wave height and direction, wind speed and direction, displacement and sea temperature have been found. Empirical formulae are given for each ship which estimate the speeds in given conditions. A correlation has been found between the speed losses of different ships in bad weather and a function calculated for each ship. It is proposed that this correlation could be used to facilitate the prediction of speed loss in bad weather. Order from: BSRA as No. 47,196.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0020868X
• Corporate Authors:

  International Periodical Press

  193 Heemraadssingel
  Rotterdam,   Netherlands 
• Authors:
  • Babbedge, N H
• Publication Date: 1977-7

Media Info

• Features: References;
• Pagination: 12 p.
• Serial:
  • International Shipbuilding Progress
  • Volume: 24
  • Publisher: IOS Press
  • ISSN: 0020-868X
  • Serial URL: http://www.iospress.nl/journal/international-shipbuilding-progress/

Subject/Index Terms

• TRT Terms: Cargo ships; Data collection; Speed control; Statistical analysis; Traffic speed; Weather conditions
• Uncontrolled Terms: Speed reduction
• Old TRIS Terms: Speed prediction; Weather delays
• Subject Areas: Data and Information Technology; Marine Transportation; Operations and Traffic Management;

Filing Info

• Accession Number: 00168264
• Record Type: Publication
• Source Agency: British Ship Research Association
• Files: TRIS
• Created Date: Jan 30 1978 12:00AM