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Title: Determining the Future Demand: Studies for Air Traffic Forecasting Remove
Authors: Phyoe, Su Myat
Lee, Yu Xuan
Zhong, Zhao Wei
Keywords: Air Traffic Forecasting
Traffic Growth
Issue Date: 2016
Source: 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.
Series/Report no.: International Journal of Technology and Engineering Studies
Abstract: 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.
ISSN: 2414-3413
DOI: 10.20469/ijtes.2.40004-3
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 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: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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