Author(s)

Jun Zhang ¹, Huazhang Liu ¹, Guocheng Peng ¹

Affiliation(s)

¹ Chengdu Civil Aviation Air Traffic Control Technology Development Co., Ltd, Chengdu, 610000, China

Corresponding Author

Jun Zhang

ABSTRACT

With the rapid development of civil aviation and rapid growth in the number of drones in China, the pressure of air traffic control is gradually increasing. Potential conflicts need to be found earlier to have enough time to deal with potential conflicts. A new warning method has been explored to detect the possibility of conflict through more perfect horizontal and vertical model prediction, and reduce the impact of 4D trajectory uncertainty. The forewarning based on the CFL can detect the possibility of conflict in the next 3-5 minutes from the horizontal and vertical directions which can be used as a supplement means of STCA and MTCD, and provide a more powerful and perfect warning function.

KEYWORDS

Drones, short-term conflicts (STCA), medium-term conflicts (MTCD), ROC&ROD, potential conflict detection, horizontal/vertical prediction

CITE THIS PAPER

Jun Zhang, Huazhang Liu, Guocheng Peng, Application of Forewarning Based on CFL. Advances in Computer, Signals and Systems (2024) Vol. 8: 6-12. DOI: http://dx.doi.org/10.23977/acss.2024.080602.

REFERENCES

[1] ICAO. Air Traffic Management Automation System Implementation and Operations Guidance Document [M].2021.
[2] CAAC. Roadmap for the Construction of Smart Civil Aviation [Z].2022.
[3] Wenjuan H .Research on CFL High Level Protection Function in Civil Aviation ATC Automation System [J]. Information and Computer (Theoretical Edition), 2019, 31(19):1-2+5.
[4] Junju L, Wanzhong S, Haijun L, et al. Research and design of mid-term conflict detection [J].Computer Engineering and Design, 2010.
[5] Yang B, Liang H J .Research of Accelerating Aircraft Mid-term Conflict Detection Algorithm Using CUDA GPUs[J]. Journal of Sichuan University(Engineering ence Edition), 2012, 44:133-137.  

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