Intelligent Models and Methods for Navigation and Operation of Container Ships

The article substantiates the feasibility of intellectualizing navigation and operational management of container ships under transoceanic transportation conditions. It is demonstrated that traditional voyage planning methods do not account for dynamic hydrometeorological conditions, navigational constraints, vessel technical state, and loading parameters. An integrated operational efficiency model is proposed that combines navigational, operational, energy, and economic indicators into a single decision-support metric. An intelligent voyage management algorithm based on AIS data, satellite monitoring, and predictive models is developed. Simulation results demonstrate fuel consumption reduction of up to 11.7%, voyage time reduction of 5.6%, and schedule deviation reduction of 71%. The object - the process of operating container ships in transoceanic transportation. The purpose – development of methodological approaches to the intellectualization of navigation and control to increase the efficiency of container ship operation. Research methods - analytical, systems analysis, comparative and mathematical modeling elements. Transoceanic container transportation is characterized by long routes, high variability of weather conditions and significant fuel consumption. Traditional methods of voyage planning are based on static routes and average climatic data, which does not correspond to modern operating conditions. The development of maritime transport is associated with the introduction of intelligent systems capable of integrating heterogeneous data and providing adaptive management. Modern and high-quality management of navigation and operation processes of container ships is one of the priority areas for increasing the efficiency of maritime transportation in transoceanic traffic in terms of reducing fuel costs, reducing the duration of voyages, increasing navigation safety and reducing the load on ship power plants. In the conditions of increasing dynamics of hydrometeorological factors, the intensity of sea routes and requirements for environmental friendliness of transportation, traditional approaches to voyage planning no longer provide the proper level of efficiency of vessel operation. In order to improve the effectiveness of voyage management, the article proposes an integrated model for the systematic assessment of the efficiency of container ship operation based on a set of navigational, operational, energy and economic indicators using electronic cartography data, satellite monitoring and intelligent information processing algorithms. The purpose of the study is to determine a scientifically sound approach to organizing intelligent decision-making support during container ship traffic management in transoceanic transportation by integrating evaluation results into the processes of route planning, speed selection, and real-time adjustment of voyage parameters. The results of the study can be recommended for implementation in information and analytical systems for managing maritime transportation and fleet operation of shipping companies in order to increase their operational efficiency, economic feasibility and competitiveness in the global maritime transportation market