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An ATC instruction processing-based trajectory prediction algorithm designing

  • S.I: Human-in-the-loop Machine Learning
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Abstract

The radiotelephony communication is a voice communication mode between air traffic service unit and aircraft currently. The control instruction is a kind of unstructured data, so that the automatic systems cannot use understand its semantic. If control instruction is regarded as a sort of special “natural language,” methods such as syntax analysis and sematic analysis can be adopted to generate the structured instruction. The correct recognition of the language must be important for the control instruction. However, the control instruction in Chinese is different from the general use of Chinese language in form, resulting in prepositions becoming important for semantic analysis. This paper proposes a deep neural network-based Chinese language control construction algorithm for the trajectory prediction. In particular, analysis of sematic characteristics of control instruction is realized by using cognitive linguistics theory and construction grammar theory. The control instruction is then designed by the semantic ontology. Based on the deep neural networks by considering the word sequence of instruction as the inputs. The test results have demonstrated the effectiveness of the proposed algorithm with a developed entity extracting model. (The results are quantified using the BiLSTM-LAN-CRF in detail.)

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Acknowledgements

This research is supported by the National Key Research and Development Project (No. 2020YFB2104204) and the China Postdoctoral Science Foundation (No. 2020M681750)

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Authors and Affiliations

  1. State Key Laboratory of Air Traffic Management System and Technology, Nanjing, 210007, China

    Xuan Wang, Yi Mao, Qucheng Xu & Weiyu Jiang

  2. JiangSu ATM Sub-BUREAU, Nanjing, 210000, China

    Xiaoyong Wu

  3. Department of Civil and Environmental Engineering, Imperial College London, London, SW7 2AZ, UK

    Suwan Yin

Authors
  1. Xuan Wang
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  2. Yi Mao
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  3. Xiaoyong Wu
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  4. Qucheng Xu
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Correspondence to Yi Mao.

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Wang, X., Mao, Y., Wu, X. et al. An ATC instruction processing-based trajectory prediction algorithm designing. Neural Comput & Applic 35, 23477–23490 (2023). https://doi.org/10.1007/s00521-021-05713-4

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