Abstract
Taking into account current trends in the development of ergatic maritime transport systems, the factors of the navigator’s influence on vessel control processes were determined. Within the framework of the research hypothesis, to improve navigation safety, it is necessary to apply predictive data mining models and automated vessel control. The paper proposes a diagram of the ergatic vessel control system and a model for identifying the influence of the navigator “human factor” during navigation. Within the framework of the model based on the principles of navigator decision trees, prediction by data mining means is applied, taking into account the identifiers of the occurrence of a critical situation. Based on the prediction results, a method for optimal vessel control in critical situations was developed, which is triggered at the nodes of the navigator decision tree, which reduces the likelihood of a critical impact on vessel control. The proposed approaches were tested in the research laboratory “Development of decision support systems, ergatic and automated vessel control systems”. The use of the Navi Trainer 5,000 navigation simulator (Wärtsilä Corporation, Finland) and simulation of the navigation safety control system for critical situations have confirmed its effectiveness. As a result of testing, it was determined that the activation of the system allowed reducing the likelihood of critical situations by 18–54 %. In 11 % of cases, the system switched the vessel control processes to automatic mode and, as a result, reduced the risk of emergencies. The use of automated data mining tools made it possible to neutralize the negative influence of the “human factor” of the navigator and to reduce the average maneuvering time during vessel navigation to 23 %
Highlights
In the practice of managing navigation processes using navigation systems, the initial stage is to draw up a transition plan for a given route [1]
Modern trends in navigation make adjustments leading to the emergence of automated means of remote vessel control, where decisions are made by the operator of navigation information systems as a subject of the ergatic maritime transport system [3]
In view of the above, we can conclude that there is an objective problem of identifying critical situations in ergatic vessel control systems, which needs to be solved through the development of innovative approaches to data analysis
Summary
In the practice of managing navigation processes using navigation systems, the initial stage is to draw up a transition plan for a given route [1]. The task is to conduct a number of experiments to create a unified series of vessel control models It should be taken into account that trends in the development of water transport infrastructure are intensively transformed into specialized centers for managing complex logistics and traffic control systems for sea vessels [6]. This introduces additional requirements both to navigators’ qualifications and ability to adequately perceive navigational situations, promptly and efficiently navigate vessels, and make effective management decisions [7]. All this necessitates the automated determination of the factors of an unfavorable outcome of critical situations based on implicit features
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