title: Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS.
abstract: The paper describes a model, which estimates the risk levels of individual crude oil tankers. The intended use of the model, which is ready for trial implementation at The Norwegian Coastal Administrations new Vardø VTS (Vessel Traffic Service) centre, is to facilitate the comparison of ships and to support a risk based decision on which ships to focus attention on. For a VTS operator, tasked with monitoring hundreds of ships, this is a valuable decision support tool. The model answers the question, "Which ships are likely to produce an oil spill accident, and how much is it likely to spill?".
authors.affiliation: Det Norske Veritas, Veritasveien 1, N-1322 Høvik, Norway. magnus.strandmyr.eide@dnv.com
authors.forename: Magnus S
authors.initials: MS
authors.lastname: Eide
authors.forename: Oyvind
authors.initials: O
authors.lastname: Endresen
authors.forename: Per Olaf
authors.initials: PO
authors.lastname: Brett
authors.forename: Jon Leon
authors.initials: JL
authors.lastname: Ervik
authors.forename: Kjell
authors.initials: K
authors.lastname: Røang
mesh_terms: D003661:Decision Support Techniques; D006256:Hazardous Waste / Q000517:prevention & control; D007256:Information Systems; D009664:Norway; D009792:Oceans and Seas; D010578:Petroleum; D018570:Risk Assessment / Q000379:methods*; D012767:Ships; D014877:Water Pollution, Chemical / Q000517:prevention & control*
chemical_list: D006256:Hazardous Waste; D010578:Petroleum