New Approach for Modeling of Air Traffic Flow

Author:

Zhang Qing Feng1

Affiliation:

1. Civil Aviation Flight University of China

Abstract

<strong><strong></strong></strong> Firstly, from the strategic level flow prediction and tactical traffic flow prediction analysis of two methods of flight flow forecast, put forward by the combination method of strategic level forecast, the dead reckoning for the tactical traffic flow prediction. According to the characteristics of dynamic air traffic flow prediction, inference algorithm for aircraft trajectory conjecture by great circle track and isometric track, so as to realize the dynamic traffic prediction. Basic factors that error in in-depth study on track, according to the actual situation of Guangzhou area control center control operation, analyzes and summarizes the influence of dead reckoning uncertainty factors, proposes an equiangular track improved predictive models, and flight data is validated using actual controllers in Guangzhou, the results show that the prediction accuracy of the improved model significant improvement.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 articles.

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2. D. Bertsimas and J. Tsitsiklis. Introduction to Linear Optimization. Athena Scientific, Belmont, MA, February (1997).

3. K. Bilimoria and H. Q. Lee. Aircraft conflict resolution with an arrival time constraint. In AIAA Conference on Guidance, Navigation, and Control Conference and Exhibit, Monterey, CA, August 2002. AIAA Paper 2002–4444.

4. K. Bilimoria, B. Sridhar, G. Chatterji, K. Sheth, and S. Grabbe. FACET: Future ATM concepts evaluation tool. In Proceedings of the 3rd USA/Europe ATM 2001 R&D Seminar, Naples, Italy, June (2001).

5. P.A. Bonnefoy and R.J. Hansman. Scalability and evolutionary dynamics of air transportation networks in the United States. In AIAA Aviation Technology, Integration, and Operations Conference, pages 785–795, Belfast, Northern Ireland, Ireland, September (2007).

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