Automatic verification method of ATC command repetition based on Siamese network

Abstract

In order to ensure the safety of ATC (Air Traffic Control), air traffic controllers need to artificially compare the ATC instructions between the original ones and repetitions from the pilot, which may bring errors and flight conflicts. Hence, an automatic verification method of ATC command repetition based on the Siamese network is proposed in this paper. Firstly, the instruction texts of the original ones and repetitions are converted into word vector sequences, respectively. The attention mechanism is introduced to generate word vectors containing interactive information. Secondly, the two generated word vectors are input into BiGRU for semantic extraction. Finally, the text similarity between the two generated word vectors is measured by Manhattan distance. The experiment results show that the method is effective in the automatic verification task of ATC instruction repetition, and its average test accuracy reaches 94.81%.