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Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies

Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies

Yuliya Sikirda, Mykola Kasatkin, Dmytro Tkachenko
Copyright: © 2020 |Pages: 25
ISBN13: 9781799814153|ISBN10: 1799814157|ISBN13 Softcover: 9781799814160|EISBN13: 9781799814177
DOI: 10.4018/978-1-7998-1415-3.ch003
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MLA

Sikirda, Yuliya, et al. "Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies." Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries, edited by Tetiana Shmelova, et al., IGI Global, 2020, pp. 66-90. https://doi.org/10.4018/978-1-7998-1415-3.ch003

APA

Sikirda, Y., Kasatkin, M., & Tkachenko, D. (2020). Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies. In T. Shmelova, Y. Sikirda, & A. Sterenharz (Eds.), Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries (pp. 66-90). IGI Global. https://doi.org/10.4018/978-1-7998-1415-3.ch003

Chicago

Sikirda, Yuliya, Mykola Kasatkin, and Dmytro Tkachenko. "Intelligent Automated System for Supporting the Collaborative Decision Making by Operators of the Air Navigation System During Flight Emergencies." In Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries, edited by Tetiana Shmelova, Yuliya Sikirda, and Arnold Sterenharz, 66-90. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1415-3.ch003

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Abstract

This chapter researches pilot and air traffic controller collaborative decision making (CDM) during flight emergencies for maximum synchronization of operators' technological procedures. Deterministic models of CDM by the Air Navigation System's human operators were obtained by network planning methods; their adequacy is confirmed by full-scale modeling on a complex flight simulator. For the sequential optimization of the collaborative two-channel network “Air traffic controller-Pilot” to achieve the end-to-end effectiveness of joint solutions, a multi-criteria approach was used: ensuring the minimum time to parry flight emergency with maximum safety/maximum consistency over the time of operators' actions. With the help of the multiplicative function, the influence of organizational risk factors on flight safety in the air traffic control was evaluated. A conceptual model of System for control and forecasting the flight emergency development on the base of Intelligent Automated System for supporting the CDM by operators was developed.

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