Efficiency of technical means of notifying aircraft passengers in emergency situations

Serhii Rudakov

National University of Civil Defenсe of Ukraine

https://orcid.org/0000-0001-8263-0476

Oleg Kulakov

National University of Civil Defenсe of Ukraine

http://orcid.org/0000-0001-5236-1949

Oksana Myrgorod

National University of Civil Defenсe of Ukraine

https://orcid.org/0000-0002-5989-3435

Olena Petukhova

National University of Civil Defenсe of Ukraine

https://orcid.org/0000-0002-4832-1255

DOI: https://doi.org/10.52363/2524-0226-2022-36-11

Keywords: emergency situation, expert, assessment, complex of means of informing passengers, coefficient of competence, coefficient of assessment

Аnnotation

An expert method of researching the effectiveness of a complex of technical means of informing passenger aircraft in the event of an emergency situation in high-altitude flight conditions is proposed. An improved generalized model of the effectiveness of the application of individual and collective technical means of informing passengers and crew members in the event of an emergency situation, which is described by appropriate features, the composition of which is determined by a group of experts – highly qualified specialists in the aviation industry. The determination of such features for the object of selection by the expert method solves the task of finding weighted coefficients by ranking the relevant coefficients and comparing them with each other. An assessment of the effectiveness of a set of scientifically based technical solutions for informing passengers of aircraft in the event of an emergency has been carried out. Such assessment was carried out by highly qualified experts in the field of air transportation. The results of expert decisions were processed using mathematical methods. Research results are obtained with the help of instrumental measurements, for which standardized methods of processing measurement results are established. The results of the collective examination of the effectiveness of the use of technical means of informing passengers were obtained using the method of ranking the weighted coefficients of the quantitative rating scale. The results of the research were obtained by calculating quantitative estimates of the significance of the source information, which corresponds to the combination of sources of argumentation, taking into account their influence on the opinion of the expert. Quantitative values of qualification assessments corresponding to different levels of expert awareness were also proposed. The results of an expert survey of a group of specialists in the field of aviation safety regarding the effectiveness of the use of technical means of individual and collective informing of aircraft passengers in emergency situations of high-altitude flight are presented. This made it possible to determine the effectiveness and priority of the use of these technical means in the event of an emergency and to save the lives of many aircraft passengers.

References

1. Bugayko, D., Shevchenko, O. (2020). Indicators of air transport sustainable development. Intellectualization o f Logistics and Supply Chain Management, 4, 6–18. doi:https://doi.org/10.46783/smart-scm/2020-4-1
2. Prognoz ІСАО [Elektronnij resurs]. Available at: https://biz.nv.ua/ukr/markets/ikao-shvaliv-standart-po-skorochennju-vikidu-co2-litakami-96188.html
3. Analiz stanu bezpeky polotiv za rezultatamy rozsliduvannja aviazijnyh podij ta inzydentiv z syvilnymy povitranymi sudnamy Ukrainy ta sudnamy inozemnoi reestrazii, so stalysa u 1 pivrizzi 2019 roku. (2019). [Elektronnij resurs]. Nazionalne buro z rozsliduvanna aviazijnyx podiy ta inzydentiv z syvilnymy povitranymi sudnamy. Kyiv,2. Available at: http://www.nbaai.gov.ua/uploads/pdf/Аналіз_1_пів_2019.pdf
4. Safety Management Manual Doc 9859. (2018). [Elektronnij resurs]. Available at: https://www.unitingaviation.com/publications/9859/
5. Groenenboom, J. (2017). Aircraft health monitoring. The True Value of Aircraft Health Monitoring and Data Management. Proceedings of the 13th Maintenance Cost Conference, 172–179.
6. Global Market Forecast. Future Journeys 2013–2020. (2013). [Electronic resource] AIRBUS S.A.S Blagnac Cedex: Art @ Caractere, 125. Available at: http://www.airbus.com/company/market/forecast/?elD=damfrontend push@docID=33755.
7. Balbi, G., Moraglio, M. (2016). A Proposal to hybridise communication and mobility research agendas. In: S. Fari, M. Moraglio, еds. Peripheral flows: A Historical Perspective on Mobilities between Cores and Fringes. Newcastle: Cambridge Scholars Publishing, 10–27.
8. Adrian, T., Crump, R.K., Vogt, E. (2019). Nonlinearity and flight-to-safety in the risk-return trade-off for stocks and bonds. The Journal of Finance, 74, 4, 1931–1973. Available at: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr723.pdf
9. Andreev, K., Arnaudov, R., Dochev, I. (2018). In-flight sensor system for collecting flight information and providing flight safety of unmanned aerial system. Electrotechnica and Electronica, 53, 11–12, 305–309. Available at: https://epluse.ceec.bg/in-flight-sensor-system-for-collecting-flight-information-and-providing-flight-safety-of-unmanned-aerial-system
10. Baar, T., Schulte, H. (2019). Safety analysis of longitunal motion controllers during climb flight. System Informatics, 14, 11–18. Available at: http://dx.doi.org/
    10.18255/1818-1015-2019-4-488-501
11. Ding, S., Gu, Q., Liu, J. (2019). Flight safety system evaluation and optimal linear prediction. Transactions of Nanjing University of Aeronautics and Astronautics, 36, 2, 205–213. Available at: http://dx.doi.org/10.16356/j.1005-1120.2019.02.001
12. Kelemen, M., Antoško, M., Szabo, S., Socha, L., Jevčák, Ja., Choma, L., Tobisová, A. (2019). Experimental verification of psychophysiological performance of a selected flight personnel and sw: presurvey for transport safety. Transport Problems, 14, 3, 145–153. doi: 10.20858/tp.2019.14.3.13
13. Krasnozhon, V. O. (2016). Flight safety analysis during air traffic сontrol in the USA. Sciences of Europe, 9–3(9), 55–60.