Visualising Network Traffic Data From Air Traffic Control Radio Systems

Walker, Adam (2019) Visualising Network Traffic Data From Air Traffic Control Radio Systems. Masters thesis, University of Lincoln.

Visualising Network Traffic Data From Air Traffic Control Radio Systems
Walker-Adam_Computer-Science-November-2019.pdf - Whole Document

Item Type:Thesis (Masters)
Item Status:Live Archive


In recent years the aviation industry has begun to embrace digital technology for Air Traffic Control (ATC) radio systems. This change has created challenges not only for the industry but also for personnel. However, this implementation offers many improvements over older systems; more precise control, straightforward integration with other ATC systems and a more efficient way to provide software updates. The challenge for personnel is to develop a new skillset enabling a learning transition from analogue to digital systems, with a specific emphasis on computer networking skills.

This project was undertaken in collaboration between the University of Lincoln (UoL) and Park Air Systems (PAS), an industry-leading provider of Air-Space communication solutions. A system has been developed to find a mechanism to monitor and visualise network traffic. The use of graphs provides a direct interface for the end-users, enabling a mechanism for identifying performance issues to meet the transitional challenges from analogue to digital. An easy to use interface has been designed, which will enable non-technical users to interact effectively with the system.

Considerable testing was undertaken to investigate the system usability concerning the practical application for users with limited networking experience. A survey
provided a range of quantitative and qualitative data which was further analysed to scrutinize user perspectives on system usability. This involved engineers from PAS and postgraduate students from UoL to compare results between direct industry personnel and unaffiliated participants.

Divisions:College of Science > School of Computer Science
ID Code:47507
Deposited On:08 Dec 2021 13:33

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