Author:
Pawełek Adrian,Lichota Piotr
Abstract
This article presents a method that allows to analyze selected aspects of past arrival traffic by modelling distributions of time separations of arriving aircraft in a chosen navigationpoint of Terminal Manoeuvring Area with the use of continuous probability distributions. Modelling arriving aircraft time separations distribution with continuous probability density functions allows to apply various mathematical tools to analyze separations distributions. Moreover, by comparing distributions parameters, quantitative analysis of separations for days with various arrival traffic intensity can be performed. Assumptions, mathematical model, application in the exemplary experimental scenario with an airport and days with low and high traffic intensity, and results are presented in this article. Real air traffic data was used for the experimental scenario. Outcomes show that the method can be used for air traffic post-analysis, e.g assessment of maintaining separation.
Reference24 articles.
1. Kopyt A., Biernacki M., Piotrowski M., The study on the mental stress impact on pilots on the PZL SW-4 flight simulator, Transactions of the Institute of Aviation, 32 (2014)
2. Dalmau R., Prats X., Assessment of the feasible CTA windows for efficient spacing with energy-neutral CDO, 7th Proceedings of the International Conference on Research in Air Transportation (2016)
3. Pawełek A., Dalmau R., Lichota P., Prats X., Arrival traffic synchronisation with Required Time of Arrivals for fuel-efficient trajectories, Proceedings of the 17th ATIOAIAA Aviation Technology, Integration, and Operations Conference pp. 1–14 (2017)
4. Narkiewicz J., ans M.Z. Topczewski S., Kopyt A., A concept of Aircraft Status Supervision System, Journal of Aerospace Engineering 30 (2017)