4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory

Xin-Min Tang, Yun-Xiang Han


To resolve the problem of future airspace management under great traffic flow and high density condition, 4D trajectory estimation has become one of the core technologies of the next new generation air traffic control automation system. According to the flight profile and the dynamics models of different aircraft types under different flight conditions, a hybrid system model that switches the aircraft from one flight stage to another with aircraft state changing continuously in one state is constructed. Additionally, air temperature and wind speed are used to modify aircraft true airspeed as well as ground speed, and the hybrid system evolution simulation is used to estimate aircraft 4D trajectory. The case study proves that 4D trajectory estimated through hybrid system model can image the flight dynamic states of aircraft and satisfy the needs of the planned flight altitude profile.
air traffic management, 4D trajectory estimation, hybrid system model, aircraft dynamic model


air traffic management, 4D trajectory estimation, hybrid system model, aircraft dynamic model

Full Text:



Harry, S., Richard, B., Michael L.: Next Generation Air Transportation System (NGATS) Air Traffic Management (ATM) - Airspace Project, Reference Material, NASA, 2006

Olaf, D., Thorsten, A., Cristiano, B.: SESAR D3 ATM Target Concept, EUROCONTROL,2007

Lv, X.P., General Framework of China’s New-generation Civil Aviation ATM System, China civil aviation, Vol.80, No.8, 2007, pp. 80: 24-26

Anthony, W.: Trajectory Prediction Concepts for Next Generation Air Traffic Management, 3rd USA/Europe Air Traffic Management R&D Seminar, Napoli, 2000

Yi, Q.: Concepts of US New-generation ATM System. China civil aviation, Vol.80, No.8, 2007, pp.80: 27-31.

Wu, K., Pan, W.: 4-D trajectory prediction model based on data mining, Computer Applications, Vol.27, No.11, 2007, 27(11):pp. 2637-2639

Rhonda, S., Zhao Y.Y.: Trajectory synthesis for air traffic automation, Journal of Guidance, Control and Dynamics, Vol.20, No.2, 1997, pp.232-238

Richard, A. C.: Climb trajectory prediction enhancement using airline flight planning information, Proceedings of the AIAA Guidance, Navigation, and Control Conference. AIAA, 1999

Lee, H. P., Leffer, M. F.: Development of the L-1011 four-dimensional flight management system, NASA,1984

Wu, S.F., Guo. S.F.: Synthesis of aircraft vertical flight profile based on four-dimensional guidance in terminal airspace, Acta Aeronautica ET Astronautica Sinica, Vol.14, No.5, 1993, pp. 261- 258

Wang, C., Guo. J.X., Shen. Z.P.: Prediction of 4D Trajectory Based on Basic Flight Models, Journal of southwest jiaotong university, Vol.44, No.2, 2009, pp. 295-300

Chester, G., William N. C.: Using Flight Manual Data to Derive Aero-propulsive Models for Predicting Aircraft

DOI: http://dx.doi.org/10.7307/ptt.v24i2.280


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.