Simulation-based flight plan determination in real-time air traffic flow management
Air traffic congestion is an uprising issue that is a potential problem faced by society as the constant and increasing need to travel to different places for various reasons such as work or pleasure are on the rise. When airport and airspaces reaches their maximum capacity, there would be delays as...
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sg-ntu-dr.10356-684472023-07-07T16:09:43Z Simulation-based flight plan determination in real-time air traffic flow management Loh, Jovi Si Jie Su Rong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Air traffic congestion is an uprising issue that is a potential problem faced by society as the constant and increasing need to travel to different places for various reasons such as work or pleasure are on the rise. When airport and airspaces reaches their maximum capacity, there would be delays as there is too many aircraft operating and not enough space. To avoid congestions and delay, improvement must be made to Air Traffic Flow Management (ATFM) so that delays and congestions are minimal. Flow models such as the Aggregated and Eulrian models have been used and research on how to improve ATFM but both have their advantages and disadvantages. Mathematical optimization is used to optimize ATFM. Therefore, coding involving these models are needed to be used in a simulation program to test different models and determine the different outcome of each test. To run the simulation, data such as waypoints coordinates are required to be input into the program to portray the Air Traffic Service (ATS) Routes. But this data are given in Microsoft Excel, and the simulation program can only read the data in a certain format. The Methodology section shows the coding and how these data are being processed by using Microsoft Excel Visual Basic for Application (VBA) to put them in the proper format required by the simulation program. It also explain how the code works and finally shows the end result after running the VBA code. The end product of the ATS Routes network in four regions namely Singapore, Malaysia, Indonesia and Thailand is depicted in Section 4, Results. Bachelor of Engineering 2016-05-26T02:47:19Z 2016-05-26T02:47:19Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68447 en Nanyang Technological University 54 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Loh, Jovi Si Jie Simulation-based flight plan determination in real-time air traffic flow management |
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Air traffic congestion is an uprising issue that is a potential problem faced by society as the constant and increasing need to travel to different places for various reasons such as work or pleasure are on the rise. When airport and airspaces reaches their maximum capacity, there would be delays as there is too many aircraft operating and not enough space. To avoid congestions and delay, improvement must be made to Air Traffic Flow Management (ATFM) so that delays and congestions are minimal.
Flow models such as the Aggregated and Eulrian models have been used and research on how to improve ATFM but both have their advantages and disadvantages. Mathematical optimization is used to optimize ATFM.
Therefore, coding involving these models are needed to be used in a simulation program to test different models and determine the different outcome of each test.
To run the simulation, data such as waypoints coordinates are required to be input into the program to portray the Air Traffic Service (ATS) Routes. But this data are given in Microsoft Excel, and the simulation program can only read the data in a certain format.
The Methodology section shows the coding and how these data are being processed by using Microsoft Excel Visual Basic for Application (VBA) to put them in the proper format required by the simulation program. It also explain how the code works and finally shows the end result after running the VBA code.
The end product of the ATS Routes network in four regions namely Singapore, Malaysia, Indonesia and Thailand is depicted in Section 4, Results. |
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Su Rong |
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Su Rong Loh, Jovi Si Jie |
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Final Year Project |
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Loh, Jovi Si Jie |
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Loh, Jovi Si Jie |
title |
Simulation-based flight plan determination in real-time air traffic flow management |
title_short |
Simulation-based flight plan determination in real-time air traffic flow management |
title_full |
Simulation-based flight plan determination in real-time air traffic flow management |
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Simulation-based flight plan determination in real-time air traffic flow management |
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Simulation-based flight plan determination in real-time air traffic flow management |
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simulation-based flight plan determination in real-time air traffic flow management |
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2016 |
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http://hdl.handle.net/10356/68447 |
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