Uçak Kazalarında İletişim Hatalarının Payı ve Havacılıkta İletişim Odaklı Geliştirilebilecek Yapay Zekâlar

Abstract

In the history of civil aviation, there have been many fatal accidents due to different reasons. Most of the accidents occurred as a result of human error. Especially for the accidents that occur as a result of malfunctions in the aircraft engine or the systems on the aircraft, a large amount of accidents have been prevented by making use of new technologies. Despite these, accidents caused by human error continue to exist today. Aircraft accidents caused by communication errors are especially important. Due to misunderstanding, misinformation about flight rules, giving incorrect instructions, misunderstanding or misinformation as a result of not having sufficient command of the language used and not providing the necessary information, communication errors occur and as a result, fatal plane crashes occur. In addition to human errors in communication, problems may occur due to the systems used. In particular, the old radio systems used and the problems that occur during the transmission of data also cause accidents. For the same reasons, it is necessary to develop new technologies and use them in the aviation industry in order to avoid accidents. Since the number of people working in the sector cannot be reduced to zero, these technologies should be used and human error should be minimized. the purpose of this research; It is to examine and determine the share of aircraft accidents caused by communication errors and to examine the artificial intelligence that can be used in the subject. In the study, the 20 deadliest plane crashes in the history of civil aviation were examined. In addition, the example of Tenerife District is given because it is related to the subject. According to the information obtained as a result of the study, it was determined that 7 of the 20 deadliest accidents in the history of civil aviation were caused by communication errors. Within the framework of the study, Correlation Analysis was conducted to determine the degree of relationship between the number of deaths in accidents and the causes of accidents.