DEVELOPMENT AND FIELD TESTING OF A NEURAL NETWORK SHIP PREDICTOR SYSTEM (SPS)

Manoeuvring large ships in rivers and confined waterways is a challenging and potentially hazardous task. Because ships are slow to respond to changes in the surrounding environment and their own rudder movements, a change in the ship's course to avoid an accident may not occur in time. Statistics show that ship accidents involving striking and grounding outnumber all other types of ship accidents in Canada. Additionally, the delay in ships' response to rudder changes causes unnecessary rudder movements that reduce speed and decrease fuel efficiency. The main objective of the project was to develop and field test a ship predictor system (SPS) that would help improve the safety and operational efficiency of ships travelling in restricted waters by providing an accurate prediction of a ship's motion.

• Record URL:
  http://data.tc.gc.ca/archive/eng/innovation/tdc-summary-13300-13368e-1054.htm
• Corporate Authors:

  Transport Canada

  Transportation Development Centre, 800 Rene-Levesque Boulevard West, Suite 600
  Montreal, Quebec  Canada  H3B 2X1

  CORETEC Incorporated

  St. John's, Newfoundland,   Canada 
• Authors:
  • El-Tahan, H
• Publication Date: 1999

Language

• English

Media Info

• Pagination: 44 p.

Subject/Index Terms

• TRT Terms: Crashes; Development; Field tests; Forecasting; Fuel consumption; Groundings (Maritime crashes); Maneuvering; Neural networks; Rudders; Ship motion; Ship pilotage; Ships; Speed; Water transportation crashes
• Uncontrolled Terms: Large ships; Ship predictor systems
• Geographic Terms: Canada
• Subject Areas: Energy; Marine Transportation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 00936867
• Record Type: Publication
• Report/Paper Numbers: TP 13368E
• Files: TRIS
• Created Date: Jan 23 2003 12:00AM