An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport
South-East Asia is considered one of the fastest air traffic growing regions in the world. Congested air traffic and weather conditions have thus become major factors in air traffic management. In this paper the model for air traffic forecasting was able to forecast the country, city-pair and airpor...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/142130 |
| _version_ | 1811692777588654080 |
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| author | Sailauov, Tolebi Zhong, Zhao Wei |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Sailauov, Tolebi Zhong, Zhao Wei |
| author_sort | Sailauov, Tolebi |
| collection | NTU |
| description | South-East Asia is considered one of the fastest air traffic growing regions in the world. Congested air traffic and weather conditions have thus become major factors in air traffic management. In this paper the model for air traffic forecasting was able to forecast the country, city-pair and airport-pair air traffic. Results show that the passenger forecasting for Singapore has dependence not only on that country but on neighbouring countries as well. The paper predicts that the passenger movements in Changi airport will increase up to 81.65 million people by year 2023, which is 31.23 % more than that in 2017. Also, the number of passenger aircraft between Singapore and Jakarta city-pair will increase up to 34702 by year 2023, which is 26.6 % more than that in 2017. In addition, the number of passenger aircraft between Changi airport and KLIA airport-pair will be between 31698 and 40311 by year 2023. |
| first_indexed | 2024-10-01T06:41:11Z |
| format | Journal Article |
| id | ntu-10356/142130 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:41:11Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1421302023-03-04T17:12:17Z An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport Sailauov, Tolebi Zhong, Zhao Wei School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Air Traffic Forecasting South-East Asia is considered one of the fastest air traffic growing regions in the world. Congested air traffic and weather conditions have thus become major factors in air traffic management. In this paper the model for air traffic forecasting was able to forecast the country, city-pair and airport-pair air traffic. Results show that the passenger forecasting for Singapore has dependence not only on that country but on neighbouring countries as well. The paper predicts that the passenger movements in Changi airport will increase up to 81.65 million people by year 2023, which is 31.23 % more than that in 2017. Also, the number of passenger aircraft between Singapore and Jakarta city-pair will increase up to 34702 by year 2023, which is 26.6 % more than that in 2017. In addition, the number of passenger aircraft between Changi airport and KLIA airport-pair will be between 31698 and 40311 by year 2023. Published version 2020-06-16T04:50:49Z 2020-06-16T04:50:49Z 2019 Journal Article Sailauov, T., & Zhong, Z. W. (2019). An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport. Statistics, Optimization and Information Computing, 7(1), 40-54. doi:10.19139/soic.v7i1.372 2311-004X https://hdl.handle.net/10356/142130 10.19139/soic.v7i1.372 2-s2.0-85061433749 1 7 40 54 en Statistics, Optimization and Information Computing © 2019 International Academic Press. This is an open-access article distributed under the terms of the Creative Commons Attribution License. application/pdf |
| spellingShingle | Engineering::Mechanical engineering Air Traffic Forecasting Sailauov, Tolebi Zhong, Zhao Wei An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title | An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title_full | An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title_fullStr | An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title_full_unstemmed | An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title_short | An optimization approach towards air traffic forecasting : a case study of air traffic in Changi airport |
| title_sort | optimization approach towards air traffic forecasting a case study of air traffic in changi airport |
| topic | Engineering::Mechanical engineering Air Traffic Forecasting |
| url | https://hdl.handle.net/10356/142130 |
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