Airspace complexity metrics using graph theory
Graph theory and complex network analysis has been hugely popular in the study of transportation systems. This popularity is not unwarranted due to 1) the fields’ good ability to explain the behavior of real-world networks and 2) the natural mapping between transportation systems and graphs/networks...
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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/10356/78747 |
| _version_ | 1826126451009650688 |
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| author | Widjaja, Ignatius Haris Setiawan |
| author2 | Sameer Alam |
| author_facet | Sameer Alam Widjaja, Ignatius Haris Setiawan |
| author_sort | Widjaja, Ignatius Haris Setiawan |
| collection | NTU |
| description | Graph theory and complex network analysis has been hugely popular in the study of transportation systems. This popularity is not unwarranted due to 1) the fields’ good ability to explain the behavior of real-world networks and 2) the natural mapping between transportation systems and graphs/networks.
In this study, the air route network in the Singapore airspace – an area with regional and global significance – and its traffic flows will be analyzed as a weighted complex network. Complex network analysis is chosen as it provides a good framework for understanding the properties and behavior of complex transportation systems such as air route networks. Such analyses can help inform decisions in the operation and maintenance of the Singapore airspace. |
| first_indexed | 2024-10-01T06:52:31Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78747 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:52:31Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/787472023-03-04T18:23:17Z Airspace complexity metrics using graph theory Widjaja, Ignatius Haris Setiawan Sameer Alam School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Graph theory and complex network analysis has been hugely popular in the study of transportation systems. This popularity is not unwarranted due to 1) the fields’ good ability to explain the behavior of real-world networks and 2) the natural mapping between transportation systems and graphs/networks. In this study, the air route network in the Singapore airspace – an area with regional and global significance – and its traffic flows will be analyzed as a weighted complex network. Complex network analysis is chosen as it provides a good framework for understanding the properties and behavior of complex transportation systems such as air route networks. Such analyses can help inform decisions in the operation and maintenance of the Singapore airspace. Bachelor of Engineering (Mechanical Engineering) 2019-06-26T07:14:33Z 2019-06-26T07:14:33Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78747 en Nanyang Technological University 60 p. application/pdf |
| spellingShingle | Engineering::Mechanical engineering Widjaja, Ignatius Haris Setiawan Airspace complexity metrics using graph theory |
| title | Airspace complexity metrics using graph theory |
| title_full | Airspace complexity metrics using graph theory |
| title_fullStr | Airspace complexity metrics using graph theory |
| title_full_unstemmed | Airspace complexity metrics using graph theory |
| title_short | Airspace complexity metrics using graph theory |
| title_sort | airspace complexity metrics using graph theory |
| topic | Engineering::Mechanical engineering |
| url | http://hdl.handle.net/10356/78747 |
| work_keys_str_mv | AT widjajaignatiusharissetiawan airspacecomplexitymetricsusinggraphtheory |