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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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/78544 |
| _version_ | 1811692771074899968 |
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| author | Hsu, Chia Hao |
| author2 | Sameer Alam |
| author_facet | Sameer Alam Hsu, Chia Hao |
| author_sort | Hsu, Chia Hao |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:41:04Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78544 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:41:04Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Aeronautical engineering::Air navigation Hsu, Chia Hao Air traffic scenario generator |
| title | Air traffic scenario generator |
| title_full | Air traffic scenario generator |
| title_fullStr | Air traffic scenario generator |
| title_full_unstemmed | Air traffic scenario generator |
| title_short | Air traffic scenario generator |
| title_sort | air traffic scenario generator |
| topic | DRNTU::Engineering::Aeronautical engineering::Air navigation |
| url | http://hdl.handle.net/10356/78544 |
| work_keys_str_mv | AT hsuchiahao airtrafficscenariogenerator |