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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Main Authors: Phyoe, Su Myat, Lee, Yu Xuan, Zhong, Zhao Wei
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/81419
http://hdl.handle.net/10220/41873
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Institution: Nanyang Technological University
Language: English
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spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Air Traffic Forecasting
Traffic Growth
spellingShingle Air Traffic Forecasting
Traffic Growth
Phyoe, Su Myat
Lee, Yu Xuan
Zhong, Zhao Wei
Determining the Future Demand: Studies for Air Traffic Forecasting Remove
description 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.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Phyoe, Su Myat
Lee, Yu Xuan
Zhong, Zhao Wei
format Article
author Phyoe, Su Myat
Lee, Yu Xuan
Zhong, Zhao Wei
author_sort Phyoe, Su Myat
title Determining the Future Demand: Studies for Air Traffic Forecasting Remove
title_short Determining the Future Demand: Studies for Air Traffic Forecasting Remove
title_full Determining the Future Demand: Studies for Air Traffic Forecasting Remove
title_fullStr Determining the Future Demand: Studies for Air Traffic Forecasting Remove
title_full_unstemmed Determining the Future Demand: Studies for Air Traffic Forecasting Remove
title_sort determining the future demand: studies for air traffic forecasting remove
publishDate 2016
url https://hdl.handle.net/10356/81419
http://hdl.handle.net/10220/41873
_version_ 1759853374690295808