VR Air Traffic Control Training System

posted on 12 Dec 2020 by Alvin

A scalable and intelligent VR tutoring system for Air Traffic Control Training.

Brief

Having a well-trained workforce in managing the operations of a world-class airport, and a responsive military air force to protect our air space is paramount to maintaining Singapore as a world-class city. The role of Air Traffic Controllers (ATC) in ensuring the safety of flights cannot be overstated.

(We apologize that much of the data in the actual research artifacts cannot be shown here, hence the content in the images/videos shown in this article may not reflect our research outputs.)

This project makes advancement in ATC training through the use of virtual reality to create an immersive visualization of air traffic control tower that supports two modes of training: self-paced and instructor-paced. Importantly, the seamless digitization of the training process makes it possible to track, monitor and analyze the trainee’s profile. This would empower the training academy to better support the decision making process in terms of personalizing the training profile for each ATC.

The project aims to design and implement a VR-based air traffic control training platform that would significantly improve and optimize the ATC Air Traffic Controllers)( training process. Specific objectives include:

• Design and develop a scalable air traffic control simulation engine that supports dynamic configuration of training procedures and scenarios that leads to individualized learning.
• Design and develop a multi-model training system that supports instructor guided multi-player training and self-paced independent learning.
• Design and implement an Intelligent Tutoring System (ITS) that supports analytical performance models to provide an objective assessment of learned skills.

Members

• Alvin Chan
• Victor Wang
• Frank Guan
• SAW Han Soo
• Haris LIM
• Air Force Training Command (RSAF)
• Lenovo
• DigiPen

Outputs

Provided real-world project problem statements and industry interactions for a DigiPen undergraduate VR module.

Acknowledgements

This research is supported by a Translational R&D and Innovation Fund (TIF) award from the Ministry of Education (MOE), Singapore.