Chatbot for air traffic control
The future of Multiple Remote Tower Operations will require Air Traffic Controllers to take on heavier workloads, more than what they are currently experiencing. As communication is a vital link between ATCs and Pilots, a solution is required to aid future Air Traffic Controllers. A solution to t...
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2023
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sg-ntu-dr.10356-1683982023-06-17T16:50:13Z Chatbot for air traffic control Belarmino, Aldrin Dennis Vispo Sameer Alam School of Mechanical and Aerospace Engineering sameeralam@ntu.edu.sg Engineering::Mechanical engineering The future of Multiple Remote Tower Operations will require Air Traffic Controllers to take on heavier workloads, more than what they are currently experiencing. As communication is a vital link between ATCs and Pilots, a solution is required to aid future Air Traffic Controllers. A solution to this is a Digital Tower Assistant. A Digital Tower Assistant in a form of Chatbot can help automate some processes in the tower and act autonomously on behalf of Air Traffic Controllers. The advancement in Natural Language Processing and structured procedures in Air Towers can make this a reality. This paper presents a novel architecture to create an intelligent hybrid system to semantically understand and act on Pilots’ messages for landing sequences in non-emergency situations. The proposed system uses Bidirectional Encoder Representations from Transformers and Knowledge-based expert system. Future work can be explored to scale the application of the system to other phases of flight. Bachelor of Engineering (Mechanical Engineering) 2023-06-12T06:40:59Z 2023-06-12T06:40:59Z 2023 Final Year Project (FYP) Belarmino, A. D. V. (2023). Chatbot for air traffic control. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168398 https://hdl.handle.net/10356/168398 en C109 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering Belarmino, Aldrin Dennis Vispo Chatbot for air traffic control |
description |
The future of Multiple Remote Tower Operations will require Air Traffic Controllers to take
on heavier workloads, more than what they are currently experiencing. As communication is
a vital link between ATCs and Pilots, a solution is required to aid future Air Traffic
Controllers. A solution to this is a Digital Tower Assistant. A Digital Tower Assistant in a form
of Chatbot can help automate some processes in the tower and act autonomously on behalf
of Air Traffic Controllers. The advancement in Natural Language Processing and structured
procedures in Air Towers can make this a reality. This paper presents a novel architecture to
create an intelligent hybrid system to semantically understand and act on Pilots’ messages
for landing sequences in non-emergency situations. The proposed system uses Bidirectional
Encoder Representations from Transformers and Knowledge-based expert system. Future
work can be explored to scale the application of the system to other phases of flight. |
author2 |
Sameer Alam |
author_facet |
Sameer Alam Belarmino, Aldrin Dennis Vispo |
format |
Final Year Project |
author |
Belarmino, Aldrin Dennis Vispo |
author_sort |
Belarmino, Aldrin Dennis Vispo |
title |
Chatbot for air traffic control |
title_short |
Chatbot for air traffic control |
title_full |
Chatbot for air traffic control |
title_fullStr |
Chatbot for air traffic control |
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Chatbot for air traffic control |
title_sort |
chatbot for air traffic control |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/168398 |
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1772827714657452032 |