The Application of Artificial Intelligence to The Determination of Operational Parameters for the Feasibility of a Flight, Algiers Seoul Case Study

Abstract

Introduction: The aviation industry has always been a highly complex field due to its interdependence, international law, and multiple standards related to passenger safety, aircraft safety, and residential and public works.

Objectives: The main objectives of this study are to determine the flight parameters with one engine failure, namely the load offered and the amount of fuel required for a flight from Algiers to Seoul, and to calculate the distance traveled.

Methods: This study focuses on the application of artificial intelligence to flight feasibility for determining operational parameters, and we will base our studies on compliance with ICAO standards for vertical obstacle clearance. Obstacle clearance, depressurization scenario.

Results: The resulting datasets provide a valuable basis for estimating and determining flight parameters in the event of engine failure, thereby contributing to the development of more robust and effective failure detection systems in the field of flight data analysis. The results highlight a consistent preference for the integration of artificial intelligence in aeronautics.

Conclusions: The application of artificial intelligence in the two critical phases (takeoff and landing) and in the event of engine failure contributes significantly to improving aviation safety and is considered an indispensable tool.