Determining the Future Demand: Studies for Air Traffic Forecasting Remove
The world has seen a rapid increase in air traffic and movement of passengers in the past two decades. Within Asia-Pacific itself, the number of aircraft departures saw a growth of approximately 200% in less than 10 years [1]. Air traffic forecast models would be useful in predicting the growth of a...
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sg-ntu-dr.10356-814192023-03-04T17:14:53Z Determining the Future Demand: Studies for Air Traffic Forecasting Remove Phyoe, Su Myat Lee, Yu Xuan Zhong, Zhao Wei School of Mechanical and Aerospace Engineering Air Traffic Forecasting Traffic Growth The world has seen a rapid increase in air traffic and movement of passengers in the past two decades. Within Asia-Pacific itself, the number of aircraft departures saw a growth of approximately 200% in less than 10 years [1]. Air traffic forecast models would be useful in predicting the growth of air traffic in the future, so as to facilitate the development of technology, operations and infrastructure for the aviation industry. This paper aims to study air traffic models and find an approach for forecasting of the air traffic growth in Singapore. This paper applies the forecasting methodologies to predict the air traffic growth and checks the growth within the region by using simulations and modeling. Accepted version 2016-12-16T05:58:06Z 2019-12-06T14:30:34Z 2016-12-16T05:58:06Z 2019-12-06T14:30:34Z 2016 2016 Journal Article Phyoe, S. M., Lee, Y. X., & Zhong, Z. W. (2016). Determining the Future Demand: Studies for Air Traffic Forecasting. International Journal of Technology and Engineering Studies, 2(3), 83-86. 2414-3413 https://hdl.handle.net/10356/81419 http://hdl.handle.net/10220/41873 10.20469/ijtes.2.40004-3 194840 en International Journal of Technology and Engineering Studies © 2016 KKG Publications. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Technology and Engineering Studies, KKG Publications. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [https://dx.doi.org/10.20469/ijtes.2.40004-3]. 3 p. application/pdf |
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Air Traffic Forecasting Traffic Growth Phyoe, Su Myat Lee, Yu Xuan Zhong, Zhao Wei Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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The world has seen a rapid increase in air traffic and movement of passengers in the past two decades. Within Asia-Pacific itself, the number of aircraft departures saw a growth of approximately 200% in less than 10 years [1]. Air traffic forecast models would be useful in predicting the growth of air traffic in the future, so as to facilitate the development of technology, operations and infrastructure for the aviation industry. This paper aims to study air traffic models and find an approach for forecasting of the air traffic growth in Singapore. This paper applies the forecasting methodologies to predict the air traffic growth and checks the growth within the region by using simulations and modeling. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Phyoe, Su Myat Lee, Yu Xuan Zhong, Zhao Wei |
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Article |
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Phyoe, Su Myat Lee, Yu Xuan Zhong, Zhao Wei |
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Phyoe, Su Myat |
title |
Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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Determining the Future Demand: Studies for Air Traffic Forecasting Remove |
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determining the future demand: studies for air traffic forecasting remove |
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2016 |
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https://hdl.handle.net/10356/81419 http://hdl.handle.net/10220/41873 |
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