The wintertime maritime traffic operations in the Gulf of Finland are managed through the Finnish-Swedish Winter Navigation System. This establishes the requirements and limitations for the vessels navigating when ice covers this area. During winter navigation in the Gulf of Finland, the largest risk stems from accidental ship collisions which may also trigger oil spills. In this article, a model for managing the risk of winter navigation operations is presented. The model analyses the probability of oil spills derived from collisions involving oil tanker vessels and other vessel types. The model structure is based on the steps provided in the Formal Safety Assessment (FSA) by the International Maritime Organization (IMO) and adapted into a Bayesian Network model. The results indicate that ship independent navigation and convoys are the operations with higher probability of oil spills. Minor spills are most probable, while major oil spills found very unlikely but possible.
This article briefly considers concept of situational management, proposed by D.A. Pospelov and common scheme for solving the situational management problem is provided. As a result of the mapping of the common scheme for solving the situational management problem on the tools of semantic modeling and expert systems, an architecture of typal intelligent DSS for making strategic decisions was proposed. Description of agent-service approach is given and implementation of two DSS based on this typal architecture is shown. Brief description of Contingency Management Language (CML) and Knowledge Manipulation Language (KML) is given.
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