Ship collision risk assessment method and device and storage medium

Abstract

The invention provides a ship collision risk assessment method and an application method thereof, which are used for dynamically assessing ship collision risks under different conditions. According to the frame, collision results are identified under different conditions according to the experience of a ship captain, collision parameters are evaluated, and the importance of each collision parameter is weighted. According to the method, information is summarized by using an evidence reasoning method, real-time collision risk assessment is allowed to be performed on collision results, collision parameters of each ship are assessed under different collision conditions, and scientific and effective analysis and intelligent management of ship traffic are realized.

Description

technical field [0001] The invention relates to the field of intelligent transportation in sea areas, in particular to a ship collision risk assessment method, device and storage medium. Background technique [0002] In busy waters and complex navigational environments, the risk of ship collision remains a concern. In some specific coastal areas, high-density maritime traffic tends to increase the probability of ship collisions, usually higher than in the open sea. As the backbone of the development of unmanned ships and intelligent transportation systems, various collision models have been proposed for real-time collision assessment and decision-making to support avoidance. These models use collision parameters to describe the state of the ship in an encounter situation and quantify the risk through mathematical or inference methods. [0003] Results from previous studies suggest that an effective, systematic real-time collision model is necessary, but most models have th...

AI Technical Summary

Problems solved by technology

For example, there is no consensus on setting risk thresholds; models do not cover many features of chance situations due to inherently complex environments, uncertainties, and lack of information on weather conditions, ship and traffic status, human factors, etc.; some models attempt to cover environmental features, but lacks sensitivity to model inputs, few frameworks have been proposed in the past

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