On the subject of an ATC simulator exercise in the training of air traffic controllers at Civil Aviation Educational Institutions

The task of improving the professional training of air traffic controllers is one of the most important in civil aviation (CA). This is due to the fact that the level of professional training largely determines the level of flight safety and the efficiency of airspace utilization. Updating and technical modernization of ATC systems and aids requires the development of new programs and methodologies for ATCO (ATC officers) training. The methodology of simulator training on the air traffic control simulator, which is a key component of practical training for ATCO in civil aviation educational institutions, also requires continuous improvement. This study analyzes and summarizes the experience of organizing and conducting training exercises on the air traffic control simulator at a university focusing on the phenomenon of exercises on the ATC simulator. The essential features of the exercise were considered: objective, task, aeronautical background, coherence with the training process, type, as well as properties: difficulty and complexity of the exercise. In studying the complexity of the exercise, the concepts of relative and absolute complexity were introduced. The relative complexity of the exercise reflects its external aspect in relation to its place in the structure of the academic discipline and within the system of all the skills being developed. The absolute complexity of the exercise reflects its internal structure as an interconnected set of skills required exclusively for the completion of that specific exercise. Analytical dependencies are proposed for calculating the relative and absolute complexity, taking into account the principle of one complexity. The concepts of practical, average, and individual difficulty of the exercises on the air traffic control simulator are introduced. An analytical dependence for their calculation is proposed. A classification of the exercise on the air traffic control simulator is proposed based on the following criteria: the objectives of the exercise, the form of the exercise, the task being solved in the exercise, the execution time, the degree of instructor involvement, and the form of the comeback from the instructor. Definitions of the concept of the exercise type and, in fact, the very concept of the exercise on the air traffic control simulator are proposed. The results obtained in this work are aimed at further development of theoretical principles in air traffic controllers training and can be used in organizing and conducting simulator practice on the air traffic controller simulator in educational institutions of civil aviation.

1. Gladenkov, M.A., Gubenko, S.V., Konovalov, A.E., Malygin, V.B. (2015). Simulator practice on air traffic control simulator: methodological recommendations for conducting educational practice. Moscow: MGTU GA, 25 p. (in Russian)

2. Kryzhanovskij, G.A., Tseplyaev, Yu.F. (1994). On professional training of dispatchers for computerized systems of air traffic control. Avtomatika i Telemehanika, no. 6, pp. 140–153. (in Russian)

3. Borisov, V.E. (2017). Modeling of training control algorithms in air traffic control simulators. Avtomatizatsiya: problemy, idei, resheniya: sbornik statey Mezhdunarodnoy nauchno-prakticheskoy konferentsii. Ufa: OMEGA SCIENCES, pp. 19–21. (in Russian)

4. Krivoborskii, I.Ju. (2023). A method of improving the system of training air traffic controllers to act in special situations. Vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta grazhdanskoy aviatsii, no. 4 (41), pp. 62–73. (in Russian)

5. Salo, N.A., Siedash, S.P., Kilmeninov, O.A. (2020). Structure and methods of the information-analytical system of testing and evaluating the knowledge of air traffic controllers. Telekommunikatsionnyye i Informatsionnyye Tekhnologii, no. 2 (67), pp. 153–162. DOI: 10.31673/2412-4338.2020.026253 (in Ukranian)

6. Çinar, E., Tuncal, A. (2024). A comprehensive analysis of competency and training perspectives among air traffic controllers. Aviation, vol. 28, no. 2, pp. 54–63. DOI: 10.3846/aviation.2024.21501

7. Kryzhanovsky, G.A., Kupin, V.V., Samoilov, V.A., Shestakov, V.A. (2018). On the problem of forming professional cognitive abilities of aeronautical system operators. Vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta grazhdanskoy aviatsii, no. 3 (20), pp. 5–20. (in Russian)

8. Kryzhanovsky, G.A., Kupin, V.V., Samoilov, V.A., Shestakov, V.A. (2018). Unity of processes for forming professional cognitive abilities of aeronautical system operators. Vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta grazhdanskoy aviatsii, no. 2 (19), pp. 44–56. (in Russian)

9. Kryzhanovsky, G.A., Kupin, V.V., Samoilov, V.A., Shestakov, V.A. (2021). Cognitive approach to the initial professional training of operators of aeronautical systems. Vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta grazhdanskoy aviatsii, no. 4 (33), pp. 69–83. (in Russian)

10. Borisov, V.E., Borsoev, V.A., Bondarenko, A.A. (2020). Development of promising simulators with voice support, with the function of automating the assessment of air traffic controllers' skills. Civil Aviation High Technologies, vol. 23, no. 6, pp. 8–19. DOI: 10.26467/2079-0619-2020-23-6-8-19 (in Russian)

11. Bestugin, A.R., Kirshina, I.A., Filin, A.D., Ivanov, A.Yu. (2017). New generation of simulators for practical training of air traffic controllers. Uspekhi sovremennoy nauki i obrazovaniya, vol. 4, no. 4, pp. 78–83. (in Russian)

12. Matskevich, A.M. (2022). Models and algorithms for decision support and their use in simulator training of air traffic control specialists. Civil Aviation High Technologies, vol. 25, no. 5, pp. 25–36. DOI: 10.26467/2079-0619-2022-25-5-25-36 (in Russian)

13. Spencer, D.A. (1989). Applying artificial intelligence techniques to air traffic control automation. The Lincoln Laboratory Journal, vol. 2, no. 3, pp. 537–554.

14. Lazyrin, M.B. (2006). Research and development of behavior planning methods for intelligent agents in training systems: Cand. of Technical Sc. Thesis. Tver, 170 p. (in Russian)

15. Salo, N., Yatsenko, K., Hohoniants, S. (2020). Training model for air traffic controllers using a multi-agent approach. Telekommunikatsionnyye i Informatsionnyye Tekhnologii, no. 1 (66), pp. 68–78. DOI: 10.31673/2412-4338.2020.016878 (in Ukranian)

16. Efremova, T.F. (2006). Modern explanatory dictionary of the Russian language. Moscow: Astrel, 976 p. (in Russian)

17. Bim-Bad, B.M. (2003). Pedagogical Encyclopedic Dictionary. Moscow: Bolshaya Rossiyskaya entsiklopediya, 528 p. (in Russian)

18. Kalinina, M.S., Tsybaneva, V.A. (2018). Retrospective analysis of the formation of the methodological concept “Exercise”. Artium Magister, vol. 18, no. 1, pp. 12–19. (in Russian)

19. Zeitlina, E.Yu. (2008). Multicriteria assessment of the results of students’ educational activities in the context of the transition to personality-oriented learning. Izvestia: Herzen University Journal of Humanities & Sciences, no. 60, pp. 501–506. (in Russian)