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Content available remote Study on Shipping Safety Strategy Based on Accident Forecast Model
EN
The factors which would cause shipping accidents are analyzed in detail and a model which can forecast shipping accidents is studied in this paper. During navigation, all the factors are integrated and calcu-lated in this model which then estimate and speculate on the risk degree of collision for the own ship. Finally, the risk level and the possibility of shipping accidents can be forecasted in real-time. The proposed accident forecast model can estimate the possibility of collision with other ships or objects in a specific domain. Meanwhile, the external environment such as weather, stream, etc. is taken into account in the model. Be-sides, the validity of navigators’ orders can also be evaluated in the model which consequently can forecast different kinds of shipping accidents effectively in that most of the factors which cause shipping accidents have been involved in the proposed model. With the accident forecast model, the shipping safety would be improved greatly. A practical example demonstrates the effectiveness and superiority of the proposed strate-gy.
EN
Flexible strategies for collision avoidance, presented at TransNav 2007, were examined using computer program for its correctness in different situations of ships interaction. It was determined, that on short distance the risk of collision can arise again when the vessel returning to the planned route after deviation from collision. For controlling ship’s safe returning, the mathematical model was developed. This model describes the analytical dependence of the rate of changing relative course with respect to rates of turning of the vessels and its initial relative position. This method can be used in automatic systems for controlling the safe returning of the vessel to the planned route.
EN
The paper presents implementation of probabilistic ships collision model to evaluation of possible oil spills in the Southern Baltic Sea area. The results of the model is time, place and size of the oil spill due to ships collision. The results could be used for oil spill response action plans. The paper will open the discussion about validation of achieved results and will try to answer the question about verification of Baltic Sea oil spills data in comparison to worlds statistics.
EN
The paper introduces a visualization method that enables the navigator to estimate an encounter situation and choose collision avoidance manoeuvre if necessary. It is based on the CTPA method and offers new features: fuzzy sectors of forbidden speed and course values and the possibility to use any given ship domain. The method is fast enough to be applied in the real-time decision-support system.
EN
We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to the new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new case, used as inputs, for ship collision avoidance support system and in solving for similarity through document articulation and abstraction levels. These ontologies will be used to build a conceptual model of a manoeuvring situation.
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