Models and algorithms for decision support and their use in the simulator training of air traffic control specialists

Abstract

The organization of safe and efficient transportation of goods and passengers by air requires the rationalization of the air traffic control system. It is from the operating results of this system that all the qualitative characteristics of the transportation process depend on. At the same time, a special role in this system is given to the control unit inclusive of one or more air traffic control specialists, whose main professional duty is to control air traffic within their area of responsibility based on continuous monitoring of the air situation. As part of this activity, controllers daily make important decisions, the correctness of which directly affects the integrity of aircraft, crews, and passengers. The stated above causes the crucial significance of high-quality training of air traffic control specialists, encompassing the development of skills and abilities, based on specialized training complexes. Therefore, within the framework of this article, an analysis of modern simulators for training controllers was carried out, which made it possible to emphasize their identical structural elements. Additionally, the weaknesses of modern simulator training were identified, associated with the significant labor costs for instructors and the obvious deficiency of reserves for expanding the typical composition of risk events. With reference to the stated above, the key characteristics of an optimally built training complex were worked out, based on the use of modern decision-making support systems in the process of air traffic control specialists training. Adaptation of these models and algorithms will automate the instructor’s position and ensure the dynamism of the system in the field of replenishment of possible air traffic options.