Air traffic scenario generator

In recent years, air travel has been an increasingly popular and essential means of transportation. This resulted in the increase of air traffic, making conflict more likely to occur in the limited airspace available. To alleviate the situation, proposed future air traffic management systems aims to...

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Main Author: Hsu, Chia Hao
Other Authors: Sameer Alam
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78544
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-785442023-03-04T18:26:43Z Air traffic scenario generator Hsu, Chia Hao Sameer Alam School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering::Air navigation In recent years, air travel has been an increasingly popular and essential means of transportation. This resulted in the increase of air traffic, making conflict more likely to occur in the limited airspace available. To alleviate the situation, proposed future air traffic management systems aims to utilise additional computational power from individual aircrafts to better manage air traffic and improve the situation. To achieve this objective, it is necessary that better understanding of aircraft conflicts are available. Therefore, this project attempted to understand the current air traffic conditions and investigated nature of conflicts in the air. This was achieved by generating objects representing aircrafts and simulating occurrence of conflicts. The conflict data was recorded when the separation is lost. The recorded data was then analysed accordingly. From this project, it is concluded that higher number of aircraft will result in more than proportional increase of aircraft conflicts. No clear pattern emerged to conclude a location that conflict is more likely to occur, although starting the conflict in high risk areas results in higher risk of subsequent conflicts. In the future, established components like the Closest Point of Approach can be implemented in the algorithm to provide a better simulation of conflict scenarios. Variables such as uncertainty in wind, velocity and location data can also be integrated into the algorithm to allow investigation of their relation to likelihood of conflict occurrence. Bachelor of Engineering (Aerospace Engineering) 2019-06-21T05:56:18Z 2019-06-21T05:56:18Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78544 en Nanyang Technological University 77 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Aeronautical engineering::Air navigation
spellingShingle DRNTU::Engineering::Aeronautical engineering::Air navigation
Hsu, Chia Hao
Air traffic scenario generator
description In recent years, air travel has been an increasingly popular and essential means of transportation. This resulted in the increase of air traffic, making conflict more likely to occur in the limited airspace available. To alleviate the situation, proposed future air traffic management systems aims to utilise additional computational power from individual aircrafts to better manage air traffic and improve the situation. To achieve this objective, it is necessary that better understanding of aircraft conflicts are available. Therefore, this project attempted to understand the current air traffic conditions and investigated nature of conflicts in the air. This was achieved by generating objects representing aircrafts and simulating occurrence of conflicts. The conflict data was recorded when the separation is lost. The recorded data was then analysed accordingly. From this project, it is concluded that higher number of aircraft will result in more than proportional increase of aircraft conflicts. No clear pattern emerged to conclude a location that conflict is more likely to occur, although starting the conflict in high risk areas results in higher risk of subsequent conflicts. In the future, established components like the Closest Point of Approach can be implemented in the algorithm to provide a better simulation of conflict scenarios. Variables such as uncertainty in wind, velocity and location data can also be integrated into the algorithm to allow investigation of their relation to likelihood of conflict occurrence.
author2 Sameer Alam
author_facet Sameer Alam
Hsu, Chia Hao
format Final Year Project
author Hsu, Chia Hao
author_sort Hsu, Chia Hao
title Air traffic scenario generator
title_short Air traffic scenario generator
title_full Air traffic scenario generator
title_fullStr Air traffic scenario generator
title_full_unstemmed Air traffic scenario generator
title_sort air traffic scenario generator
publishDate 2019
url http://hdl.handle.net/10356/78544
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