A Voice Communication-Augmented Simulation Framework for Aircraft Trajectory Simulation

Yuhao Wang, Yutian Pang, Stojanche Gorceski, Peter Kostiuk, Michael Thomas Mohen, Padmanabhan K. Menon, Yongming Liu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Aircraft operations in the terminal area rely heavily on voice communications between pilots and air traffic controllers. This paper proposes a novel aircraft trajectory simulation framework by guiding the trajectory simulation following the voice command from controllers. Bayesian model selection is used for checking pilot compliances to controller commands with observed trajectories. This framework is named as Voice Communication-Augmented Simulation. The goal of the proposed study is to enable accurate trajectory predictions. The framework can act as a computer assistant for controllers to monitor pilot compliances and ensure safe operations. The proposed method is tested and validated with actual trajectory data from Sherlock Data Warehouse. The tests showed that the proposed framework can accurately simulate and monitor the flight level change of aircraft and update the approach procedure.

Original languageEnglish (US)
JournalIEEE Transactions on Intelligent Transportation Systems
DOIs
StateAccepted/In press - 2021
Externally publishedYes

Keywords

  • Air traffic control
  • Aircraft
  • Atmospheric modeling
  • Bayesian model selection
  • Computational modeling
  • Hidden Markov models
  • Predictive models
  • Tools
  • Trajectory
  • augmented simulation
  • radio communication
  • trajectory prediction.

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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