Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/81419
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. | URI: | https://hdl.handle.net/10356/81419 http://hdl.handle.net/10220/41873 |
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: [https://dx.doi.org/10.20469/ijtes.2.40004-3]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Determining the Future Demand Studies for Air Traffic Forecasting.pdf | 698.07 kB | Adobe PDF | ![]() View/Open |
Page view(s) 50
471
Updated on Sep 26, 2023
Download(s) 20
236
Updated on Sep 26, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.