Decision support system for aviation accident investigation

Аuthors

Markarian A. O.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

e-mail: anestrelle@gmail.com

Abstract

The article describes the problem of formalization and automation of the process of investigation of aviation accidents and incidents in civil aviation. The statistics are analyzed, which showed the negative dynamics of the number of air crashes with a steady growth in demand for air transportation, the main causes of aviation accidents are identified. Information systems in the field of aviation safety management and the possibility of their application for the investigation of aviation accidents and incidents are considered. It is revealed that the existing systems are designed to collect, analyze and exchange information on the safety of aviation activities, but do not have the functionality for decision-making. An overview of the main areas of research on this topic is provided, the relevance of developing a decision-making support system for the investigation of aviation accidents is substantiated. The purpose of the study is modeling an automated system that allows analyzing a set of data collected during the investigation and proposing solutions to establish the causes of aviation accidents and incidents. A system analysis of the investigation process is carried out, within the framework of which regulatory documents defining the regulations, functions and tasks of the participants in this process are studied. Based on this, functional requirements for the system being developed are formulated. A conceptual model of the decision support system for investigating aviation accidents is proposed, consisting of six subsystems and a knowledge base. A graphical model of the system is built. Sets of input and output data are defined, mathematical models of functional subsystems are developed. The implementation of models in the form of a combination of traditional algorithms and machine learning algorithms for semantic analysis of unstructured information is proposed. The system is designed to operate in an automated mode, leaving the right to make a final decision, formulated in the "final report", to the investigation commission.

Keywords:

decision support system, investigation of aviation accidents and incidents, formalization, mathematical model

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