@inproceedings{8577b24c5e314aafa274a0ced0275440,
title = "A voice-communication augmented simulation (Vcas) framework for aircraft trajectory simulation",
abstract = "The near-terminal operations of the aircraft highly rely on the ATC command. Accurate prediction for aircraft trajectory can help the safety operation in the National Airspace System (NAS). This paper presents a novel simulation framework that considers the voice communication between the pilot and Air Traffic Controllers (ATC) to assist the trajectory simulations. The simulation is based on NATS, a newly developed open access trajectory simulation platform. The framework utilizes a state-of-the-art voice-to-text engine specifically tuned for ATC environment to translate the audio data into text. A Natural Language Understanding (NLU) processes the text and extract key information such as aircraft call sign, related operation command etc. This information can them be used to update the NATS simulation code, resulting in a simulated trajectory augmented with voice commands. The framework will be referred as Voice-Communication Augmented Simulation (VCAS). The current VCAS can utilize the command in leveling change and runway assignments. The proposed method is validated with real trajectory data from Sherlock data warehouse.",
author = "Yuhao Wang and Yutian Pang and Yongming Liu and Stojanche Gorceski and Peter Kostiuk and Menon, {P. K.}",
note = "Funding Information: The research reported in this paper was supported by funds from NASA University Leadership Initiative program (Contract No. NNX17AJ86A, Project Officer: Dr. Anupa Bajwa, Principal Investigator: Dr. Yongming Liu). The support is gratefully acknowledged. The author also thanks Mr. Hailiang Li for his generous help in explaining the operation of aircrafts according to procedures. Publisher Copyright: {\textcopyright} 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Scitech Forum, 2020 ; Conference date: 06-01-2020 Through 10-01-2020",
year = "2020",
doi = "10.2514/6.2020-1399",
language = "English (US)",
isbn = "9781624105951",
series = "AIAA Scitech 2020 Forum",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Scitech 2020 Forum",
}