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

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.

Collaborative Decision Making (CDM) in Emergency Caused by Captain Incapacitation

“…An AI participant is included in the participant group for the CDM. Some solutions of CDM in emergency "Depressurization", "Engine Failure During Take-Off", "Bird strike", "Bad weather conditions", and "Engine failure during takeoff due to bird strike" were obtained Sikirda, et al, 2021). .In order to prepare correct and effective solutions in an emergency, training procedures must be able to simulate flight situations as close as possible to real events.…”