Psycholinguistics in Meeting the Challenges of Advanced Aeromobility and Organizing Safe Air Traffic in Low-Altitude Aviation

The aim of the research is guided by the results of empirical research and naturalpsycholinguistic experiment, to assess the impact of the linguistic aspects use of the state language in civil aviation of the Republic of Kazakhstan on the challenges of future aeromobility and the organization of safe air traffic of low-altitude aviation. Methods. The study is based on a triangulation approach, which involves the simultaneous use of several research methods: method of cause-and-effect relationship and comparative analysis; coding and standardization of variables; multivariate analysis; mathematical modeling; natural psycholinguistic experiment; maximum likelihood; experimental forecasting; threat gradation; rating; logical consistency and generalization. Results. Based on the results natural psycholinguistic experiment, study of professional communication and discourse of radiotelephony in civil aviation, feedback from aviation experts on sources of misunderstanding and research into phonetic features of key turns, a model for predicting flight safety threats has been developed, the use of which will ensure the safety of low-altitude aviation air traffic and timely adoption of measures to avoiding air accidents. Conclusions. Based on the results of the study, a model for predicting air traffic safety threats in low-altitude aviation has been developed using an integrated approach. The integration of the innovative dialect factor together with traditional variables makes the proposed model promising for practical application, allowing for the establishment of the level of flight safety threats, especially in multinational crews and regions with significant dialect differences, and also prevent the occurrence of incidents and air accidents.