A 3D printed model for Singapore Changi Airport runway-taxiway for air traffic simulation and visualization : part II

Singapore Changi Airport is one of the busiest airports in the world with the largest transportation hub in Asia. However, there are some inefficiencies in air traffic control due to insufficient capacity in the airway and terminal control areas. This results in air delays and the airport profiting...

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Bibliographic Details
Main Author: Lin, Ling
Other Authors: Sameer Alam
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141161
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Institution: Nanyang Technological University
Language: English
Description
Summary:Singapore Changi Airport is one of the busiest airports in the world with the largest transportation hub in Asia. However, there are some inefficiencies in air traffic control due to insufficient capacity in the airway and terminal control areas. This results in air delays and the airport profiting less due to the wastage of time and resources. Although there are many research and mathematical models done to improve air traffic efficiency, a 3D printed modular model is required to conduct simulations in real life. This project aims to optimize the air traffic systems by running simulations on the modular 3D-printed runway and taxiways. The 3D model for Singapore Changi Airport is fabricated in sections that could be assembled and disassembled conveniently. This modular model has significantly improved flexibility by rearranging the layout by putting the magnetic strip into each part and the entire model is displayed on a table with a soft magnetic whiteboard in between. Moreover, the simulation is conducted by projecting the images of runways and taxiways and virtual aircrafts movement onto the modular model. The real-time simulation is captured by the cameras installed inside the control tower model and they are displayed on three monitors to the audience. After all, the layouts could be effectively changed and optimised according to the results of following simulation and visualisation. In order to assemble the modular model in a faster and more efficient way, the layout of the entire model is traced and marked on the magnetic whiteboard and the parts are labelled accordingly. However, based on the results obtained from this project, further research is needed to be conducted to improve the mobility to a higher degree to cater to other situations such as changing the whiteboard and table.