REAVILING THE DISTRIBUTION REGULARITIES OF THE PROCEDURE EXECUTION TIME OF THE ALGORITHM OF TOWER CONTROLLER`S ACTIONS USING GERT NETWORKS
Abstract
The article discusses issues related to the calculation of the parameters distribution of the procedure execution time of the algorithm of the Tower controller`s actions when servicing the aircraft performing the approach (hereinafter simply the ALGORITHM), using the Graphical Evaluation and Review Technique (GERT network). ALGORITHM is an integral part of the trainee reference (or model-following) model in the intelligent training system "ATC of Tower", which is being developed by the Department of the Information Technologies of the Flight Academy of the National Aviation University. The reference model is formed on the basis of a list (set) of extremely detailed technological operations, the order of performing these operations upon a specific situation, a model of information flows circulation at the specialist's workplace, reference values, and time spent probabilistic models on performing technological operations. The reference model in the process of system functioning closely interacts with the trainee current model, thereby ensuring the fixation of his mistakes. On the basis of his mistakes, the intelligent system forms an individual training trajectory for the trainee and provides an opportunity for an objective automatic assessment of his operation activities. The use of the GERT network in calculating the ALGORITHM time distribution parameters allows obtaining the expected mean time value and the root-mean-square (standard) deviation, but in some cases, it does not allow calculating the execution time of its individual parts, for which the time is directly proportional to the performance characteristics of an aircraft.
References
2. Dushkov, B. A., Korolev, A. V., & Smirnov, B. A. (2005). Enciklopedicheskij slovar: Psihologiya truda, upravleniya, inzhenernaya psihologiya i ergonomika [Encyclopedic Dictionary: Psychology of Labor, Management, Engineering Psychology and Ergonomics]. Moscow: Akademicheskij proekt [in Russian].
3. Dzhuma, L.N., & Lavrinenko, A.S. (2015). Detalizaciya tehnologicheskih operacij dispetchera ADV s ispolzovaniem metoda hronometrazha [Detailing of technological operations of the Tower Air Traffic Controller using the timekeeping method]. Proceedings from IV Internationa scientific-practical conference: Upravlinnia vysokoshvydkisnymy rukhomymy obiektamy ta profesiina pidhotovka operatoriv skladnykh system. (pp. 195-196). Kirovograd: KFA NAU [in Russian].
4. Dzhuma, L.N., & Lavrinenko, A.S., (2016). Vyyavlenie zakonomernostej cirkulyacii informacionnyh potokov na rabochem meste dispetchera aerodromnoj dispetcherskoj vyshki Tower [Revealing the patterns of circulation of information flows at the workplace of the Tower Air Traffic Controller]. Proceedings from V Internationa scientific-practical conference: Upravlinnia vysokoshvydkisnymy rukhomymy obiektamy ta profesiina pidhotovka operatoriv skladnykh system. (pp. 94-96). Kropyvnytskyi: KFA NAU [in Russian].
5. Filips D., & Garsia-Dias A. M. (1984). Metody analiza setej [Network analysis techniques]. Moscow: Mir [in Russian].
6. Klyukin, V. E. (2012). Web-orientirovannye intellektualnye obuchayushie sistemy na osnove nechetkogo deyatelnostnogo podhoda v obuchenii [Web-based intelligent tutoring systems based on fuzzy active approach to learning]. Nauka i obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana – Science and education: scientific publication of the Moscow State Technical University of N.E. Bauman, 11, 445-476 [in Russian].
7. Piliponok, O.M. (2017). Metod pidvyshchennia yakosti upravlinnia povitrianymy sudnamy operatoramy system navihatsiinoho obsluhovuvannia y upravlinnia rukhom [Method of improving the aircraft management of operators of the navigation service systems and traffic control]. Candidate’s thesis. Kropyvnytskyi: KFA NAU [in Ukraine].
8. Pritsker, A. A. B. (1996a). GERT: Graphical Evaluation and Review Technique, Part I. Fundamental. J. of Industrial Eng., 17(5), 267-274.
9. Pritsker, A. A. B. (1966b). GERT: Graphical Evaluation and Review Technique, Part II. Probabilistic and Industrial Engineering. J. Ind. Eng., (6), 293-301.
10. Strelkov, Yu.K. (2001). Inzhenernaya i professionalnaya psihologiya [Engineering and professional psychology]. Moscow: Akademiya [in Russian].
11. Suhodolskij, G. V. (1994). Matematiko-psihologicheskie modeli deyatelnosti [Mathematicaland psychological models of activity]. St. Petersburg: Petropolis [in Russian].
12. Zyryanov A. A., & Dorrer M. G. (2012). Algoritm translyacii modeli biznes-processov v model GERT-seti [Algorithm for translating a business process model into a GERT network model]. Vestnik Krasnoyarskogo gosudarstvennogo agrarnogo universiteta – Bulletin of the Krasnoyarsk State Agrarian University, 12, 13-18 [in Russian].
Abstract views: 138 PDF Downloads: 120