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Original scientific paper
https://doi.org/10.7307/ptt.v24i2.280

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

Xin-Min Tang
Yun-Xiang Han

Fulltext: english, pdf (637 KB) pages 91-98 downloads: 979* cite
APA 6th Edition
Tang, X. & Han, Y. (2012). 4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory. Promet - Traffic&Transportation, 24 (2), 91-98. https://doi.org/10.7307/ptt.v24i2.280
MLA 8th Edition
Tang, Xin-Min and Yun-Xiang Han. "4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory." Promet - Traffic&Transportation, vol. 24, no. 2, 2012, pp. 91-98. https://doi.org/10.7307/ptt.v24i2.280. Accessed 24 Jul. 2021.
Chicago 17th Edition
Tang, Xin-Min and Yun-Xiang Han. "4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory." Promet - Traffic&Transportation 24, no. 2 (2012): 91-98. https://doi.org/10.7307/ptt.v24i2.280
Harvard
Tang, X., and Han, Y. (2012). '4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory', Promet - Traffic&Transportation, 24(2), pp. 91-98. https://doi.org/10.7307/ptt.v24i2.280
Vancouver
Tang X, Han Y. 4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory. Promet - Traffic&Transportation [Internet]. 2012 [cited 2021 July 24];24(2):91-98. https://doi.org/10.7307/ptt.v24i2.280
IEEE
X. Tang and Y. Han, "4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory", Promet - Traffic&Transportation, vol.24, no. 2, pp. 91-98, 2012. [Online]. https://doi.org/10.7307/ptt.v24i2.280

Abstracts
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.
KEY WORDS
air traffic management, 4D trajectory estimation, hybrid system model, aircraft dynamic model

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

Hrčak ID: 82879

URI
https://hrcak.srce.hr/82879

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