Conceptual scheme of intelligent vessel traffic control system with the human factor included

Abstract

The subject of the research is the development of technologies for automated and automatic ship traffic control systems, which is of great importance in modern shipping conditions. At the same time, special attention is paid to intelligent control systems based on artificial intelligence methods, such as artificial neural networks, fuzzy logic, machine learning, evolutionary computing and genetic algorithms. As a result, integrated information navigation systems, which provide decision-making on all aspects of navigation tasks, primarily where reception, processing, storage and transmission of navigation information is required, are being created and widely used in practice. However, in such developments, due importance is not given to the human factor, namely, it is often not taken into account that the control system of a moving object is a man-machine and consists of a regulator, which includes a human operator (navigator). The inclusion of the navigator in the vessel control link leads to the need to simultaneously take into account the human factor and the characteristics of the vessel controllability, i. e. human and machine factors in their unity. In connection with the development of artificial intelligence, the concept of “human-machine symbiosis” is becoming increasingly relevant in the study of human-machine systems. The problem is that there is still no single point of view on this issue due to the lack of reasonable methods for taking into account the human factor in the process of controlling the movement of moving objects. The results of the theoretical research on the formalization of some aspects of human mental activity and their implementation in the conceptual scheme of an intelligent vessel control system are reflected in the paper. The results obtained may be of interest to specialists in vessel traffic control automation, artificial intelligence, the creation of intelligent control systems and navigation safety.