Improving the algorithm for determining the areas of operation of long-range aircraft
https://doi.org/10.26467/2079-0619-2020-23-6-40-52
Abstract
The determination of operation area from en-route alternates for long-range airline aircraft is an important aspect of ensuring safety of the upcoming flight. In the domestic and foreign methodological literature on flight planning, including the guidance material for flight planning systems, there is no single reasonable algorithm for constructing operation areas of long-range aircraft, including the use of the EDTO-ETOPS rules. The lack of methodological materials leads to the «free» values determination of areas of operation by airlines for their long-range aircraft while building routes, in particular, when determining the areas of operation on the route, the decrease in the aircraft weight during fuel combustion is ignored. A big question is also the «initial» mass calculations to determine the value of operation areas. The article identifies shortcomings of existing algorithm for identifying the areas of operation based on the fundamental methods for determining area of operation. Microsoft Excel 2019 has been used to perform a polynomial approximation of the table-specific function of the dependence of operation radius on the mass of a long-range aircraft. Based on the certain equations, more advanced algorithm to determine areas of operation has been developed. The new algorithm pays special attention to the selection of the original value of operation area. The calculations in this article are made for the Boeing 777 as the main type of long-range aircraft operated by airlines in the Russian Federation. The developed algorithm increases the flexibility of the route by increasing the radius of operation areas from en-route alternates and can be used in flight planning systems of airlines.
About the Author
K. A. Kuts
Saint-Petersburg State University of Civil Aviation
Russian Federation
Russian Federation
Post Graduate Student,
Saint-Petersburg
References
1. Abramov, B.А., Akopyan, K.E. and Shapkin, V.S. (2011). Foreign-built aircraft operation problems. Nauchnyy Vestnik MGTU GA, no. 163, pp. 14–23. (in Russian)
2. Kovalenko, G.V., Mikinelov, A.L. and Chepiga, V.E. (2016). Letnaya ekspluatatsiya. Chast 1: uchebnoye posobiye dlyya VUZov [Flight operation. Part 1: Tutorial for universities], in Kovalenko G.V. (Ed.). 2nd ed. St.Petersburg: Nauka, 462 p. (in Russian)
3. Kuznetsov, S.V., Marasanov, L.O. and Peregudov, G.E. (2017). Scientific and practical aspects of flight operations with RVSM, PBN, CATII, CATIII, EDTO/ETOPS, TCAS, EGPWS, EFB. Civil Aviation High Technologies, vol. 20, no. 1, pp. 177–185. (in Russian)
4. Rudelson, L.E. (2010). Algorithmic problems of automatization of planning of use of air space. Nauchnyy Vestnik MGTU GA, no. 159, pp. 113–120. (in Russian)
5. Abdelghany, A., Abdelghany, K. and Azadian, F. (2017). Airline flight schedule planning under competition. Computers and Operations Research, vol. 87, pp. 20–39. DOI: https://doi.org/10.1016/j.cor.2017.05.013
6. Shaolin, H. (2005). The flight path programming with time constraint. Proceedings of the 24th Chinese Control Conference, vols 1 and 2, pp. 1339–1340.
7. Danilin, P.E., Kochneva, E.V. and Kuznetsov, A.G. (2011). Horizontal aspects of the flight plan generation. Trudy MIEA. Navigatsiya i upravleniye letatelnymi apparatami, no. 3, pp. 58–63. (in Russian)
8. Kuts, K.A. (2020). Contradictions of edto-etops regulations. Problemy letnoy ekspluatatsii i bezopasnost poletov, no. 14, pp. 119–127. (in Russian)
9. Markelov, V.V., Kostishin, M.O., Zharinov, I.O. and Nechaev, V.A. (2016). Forming route trajectories for airborne multi-function displays. Information and Control Systems, no. 1 (80), pp. 40–49. DOI: 10.15217/issn1684-8853.2016.1.40. (in Russian)
10. Orhan, I., Kapanoglu, M. and Karakoc, T.H. (2010). Planning and scheduling of airline operations. Pamukkale University Journal of Engineering Sciences, vol. 16, no. 2, pp. 181–191.
11. Scherbakov, L.K. (2019). O problemnykh voprosakh zapasnykh aerodromov DFO [About problematic issues of Far East Airfields] Aviation Explorer-sodruzhestvo aviatsionnykh ekspertov. Available at: https://www.aex.ru/docs/4/2019/4/3/2903/ (accessed 15.07.2020). (in Russian)
12. Whelan, C. (1999). Operating in the North Atlantic MNPS airspace. The Journal of Navigation, vol. 52, no. 1, pp. 11–27. DOI: https://doi.org/10.1017/S0373463398008091
13. Murat Afsar, H., Espinouse, M. and Penz, B. (2009). Building flight planning for an airline company under maintenance constraints. Journal of Quality in Maintenance Engineering, vol. 15, no. 4, pp. 430–443. DOI: https://doi.org/10.1108/13552510910997788
14. Kaiser, M., Schultz, M. and Fricke, H. (2011). Enhanced jet performance model for high precision 4D flight path prediction. ATACCS '11: Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems, pp. 33–40.
15. Mashford, J. and Marksjö, B. (2001). Airline base schedule optimization by flight network annealing. Annals of Operations Research, vol. 108, pp. 293–313. DOI: https://doi.org/10.1023/A:1016027516013
16. Pandey, M. (2008). Novyye pravila FAA otnositelno poletov ETOPS [New FAA rules regarding ETOPS flights]. Problemy bezopasnosti poletov, no. 1, p. 13a. (in Russian)
17. Proctor, P. (2000). Airline pilots coalition fights 207-min. ETOPS plan. Aviation Week & Space Technology, vol. 152, no. 12, p. 52.
18. Opryshko, U.V. (2017). Modelirovaniye velichiny ekspluatatsionnykh zatrat dalnemagistralnogo passazhirskogo samoleta [Modeling the value of long-range aircraft operating costs]. Konkurentosposobnost v globalnom mire: ekonomika, nauka, tekhnologii, no. 11 (58), pp. 764–778. (in Russian)
19. Doz̆ic, S. and Kalić, M. (2015). Three-stage airline fleet planning model. Journal of Air Transport Management, vol. 46, pp. 30–39.
20. Mezentsev, U. and Estraykh, I. (2018). An optimal fleet assignment and flight scheduling problem for an airline company. Proceedings of the Russian Higher School Academy of Sciences, no. 3 (40), pp. 74–90. DOI: http://dx.doi.org/10.17212/1727-2769-2018-3-74-90. (in Russian)
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For citations:
Kuts K.A. Improving the algorithm for determining the areas of operation of long-range aircraft. Civil Aviation High Technologies. 2020;23(6):40-52. (In Russ.) https://doi.org/10.26467/2079-0619-2020-23-6-40-52
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