Journal of System Simulation
Abstract
Abstract: For free flight of future, it is necessary to continuously detect conflicts and plan safe flight paths. Through in-depth analysis of detection principle of TCAS, combined with the characteristics of ADS-B data, the target within the scope of ADS-B IN surveillance is classified and given a risk factor, and the TCAS function is implemented in the ADS-B IN simulation software. For complex conflict scenarios with multi-aircraft, by meshing the conflict region and discretizing the flight procedure, the genetic algorithm is then used to calculate the optimal conflict-free trajectory based on risk factors. Two common multi-aircraft conflict scenarios are simulated, and the results show that the algorithm proposed in this article can solve the multi-aircraft conflict issues quickly and efficiently.
Recommended Citation
Zhang, Siyuan; Li, Xianying; and Shen, Xiaoyun
(2019)
"ADS-B IN based Conflict Prediction and Conflict-free Trajectory Planning for Multi-aircraft,"
Journal of System Simulation: Vol. 31:
Iss.
8, Article 16.
DOI: 10.16182/j.issn1004731x.joss.17-0266
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss8/16
First Page
1627
Revised Date
2017-07-10
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0266
Last Page
1635
CLC
TP391.9
Recommended Citation
Zhang Siyuan, Li Xianying, Shen Xiaoyun. ADS-B IN based Conflict Prediction and Conflict-free Trajectory Planning for Multi-aircraft[J]. Journal of System Simulation, 2019, 31(8): 1627-1635.
DOI
10.16182/j.issn1004731x.joss.17-0266
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