Air Traffic Forecasting Using Optimization for Econometric Models
Volume 3, Issue 5 Tolebi Sailauov, Z. W. Zhong
Published online: 24 October 2017
Article Views: 42
Abstract
This paper proposes a new way of forecasting air traffic by combining the optimization model with the econometric model. In other words, this paper proposes the way how to combine optimization and modeling together to forecast future air traffic. Forecasting has always been playing an important role for any company or organization. Air traffic forecasting is no exception. General formulas for the calculation of the aircraft volume and passenger volume in airports have been proposed. Using these formulas, an econometric model for passenger volume in Changi airport has been obtained. Furthermore, by using this model, Singapore air traffic passenger numbers have been predicted for 2016-2021. Accurate air traffic forecasting will help plan future projects, management decisions, such as how much investment is needed, which projects to develop, which projects to postpone, etc.
Reference
International Civil Aviation Organization. (2006). Manual on Air traffic Forecasting [Online]. Available: https://goo.gl/b2VkVN
T. Sailauov and Z.W. Zhong, “Effects of internal resources on airline competitiveness”, International Journal of Modeling and Optimization, vol. 6, no. 2, pp. 86-90,2016.
J. M. W. Low and B. K. Lee, “Effects of internal resources on airline competitiveness,” Journal of Air Transport Management, vol. 36, pp. 23-32, 2014.
W. H. K. Tsui, H. O. Balli, A. Gilbey and H. Gow, “Operational efficiency of Asia-Pacific airports” Journal of Air Transport Management, vol. 40, no. 5, pp.16-24, 2014.
D. Gillen and A. Lall, “Developing measures of airport productivity and performance: an application of data envelopment analysis,” Transportation Research Part E: Logistics and Transportation Review, vol. 33, no. 4, pp. 261 273, 1997.
J. Hlinka and H. Trefilova, “Identification of major safety issues for a futuristic personal plane concept,” Journal of Aviation, vol. 18, no. 3, pp. 120-128, 2014.
Z. Zhang and P.Wang, “Computing model of airspace utilization rate based on airspace load”, Journal of Networks, vol. 9, no. 1, pp. 71-77, 2014.
N. Adler, T. Ulku and E. Yazhemsky, “Small regional airport sustainability: Lessons from benchmarking,” Journal of Air Transport and Management, vol. 33, pp. 22-31, 2013.
N. Halpern and R. Pagliari, “Governance structures and the market orientation of airports in Europe’s peripheral areas,” Journal of Air Transport and Management, no. 13, vol. 6, pp. 376-382, 2007.
M. S. Nugroho and M. Suryanegara, “Analysis of interference of Unmanned Aircraft System (UAS) and fixed service at frequency band 12.5-12.75 GHz by considering the factor of rain attenuation,” Journal of Advances in Technology and Engineering Studies, vol. 2, no. 5, pp. 164-169, 2016.
T. Ulku, “A comparative efficiency analysis of Spanish and Turkish airports,” Journal of Air Transport Management, vol. 46, pp. 56-68, 2015.
B. Vujic, S. Vukmirovic, G. Vujic, N. Jovicic, G. Jovicic and M. Babic, “Experimental and artificial neural network approach for forecasting of traffic air pollution in urban areas: The case of Subotica,” Journal of Thermal Science, vol. 14, pp. 79-87, 2010.
R. Guo and Z. W. Zhong, “Forecasting the air passenger volume in singapore: An evaluation of time-series models,” International Journal of Technology and Engineering Studies, vol. 3, no. 3, pp. 117-123, 2017.
Y. Bao, T. Xiong and Z. Hu, “Forecasting air passenger traffic by support vector machines with ensemble empirical mode decomposition and slope-based method,” Discrete Dynamics in Nature and Society, pp. 1-12, 2012.
S.Wenzel, K. Kolker, P. Bieblich and K. Lutjens, “Approach to forecast air-traffic movements at capacity-constrained airports,” in 14th AIAA Aviation Technology, Integration, and Operations Conference, AIAA Aviation Forum, Atlanta, GA, 2014.
S. M. Phyoe, Y. X. Lee and Z. W. Zhong “Determining the future demand: Studies for air traffic forecasting,” International Journal of Technology and Engineering Studies, vol. 2, no. 3, pp. 83-86, 2016.
G. Di, Gravio, M. Mancini and R. Patriarca, F. Costantino, “Overall safety performance of air traffic management system: Forecasting and monitoring,” Safety Science, vol. 72, pp. 351-362, 2015.
V. A. Profillidis, “Econometric and fuzzy models for the forecast of demand in the airport of Rhodes,” Journal of Air Transport Management, vol. 6, no. 2, pp. 95-100, 2000.
Trading Economics Data. (2014). GDP of countries from 1998-2014 [Online]. Available: https://goo.gl/iiECke
International Monetary Fund. (2016). GDP forecasting [Online]. Available: https://goo.gl/EeXtQd
To Cite this article
T. Sailauov and Z.W. Zhong “Air traffic forecasting using optimization for econometric models.” International Journal of Technology and Engineering Studies, vol. 3, no. 5, pp. 197-203, 2017.