A study on an enhanced method for joint extraction of control intent and navigation information for smart city airport operations.

ABSTRACT: To address the critical challenge of bidirectional dependency modeling in air traffic control (ATC) communications - a gap identified in state-of-the-art joint extraction models like CII - this study proposes CII-BERT, an enhanced framework integrating BERT's contextual representation with task-specific DNN layers. Motivated by the need to reduce aviation risks caused by instruction misinterpretation, we define "flight safety" through two quantifiable metrics: conflict probability reduction and instruction error rate. Our approach uniquely employs continuous pre-training with domain-adapted augmentation strategies (synonym substitution and random block exchange), enabling robust learning of ATC-specific syntax and terminologies. Evaluated on a diverse control directive dataset (6,000 + sam

SUBMITTER: Yang Y 

PROVIDER: S-EPMC12804901 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature