Volume 51 Issue 10
Oct.  2025
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WANG C,LI W Q,SUN S L,et al. Multi-aircraft low-carbon trajectories cooperative planning for point merge operation[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(10):3253-3261 (in Chinese) doi: 10.13700/j.bh.1001-5965.2023.0575
Citation: WANG C,LI W Q,SUN S L,et al. Multi-aircraft low-carbon trajectories cooperative planning for point merge operation[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(10):3253-3261 (in Chinese) doi: 10.13700/j.bh.1001-5965.2023.0575

Multi-aircraft low-carbon trajectories cooperative planning for point merge operation

doi: 10.13700/j.bh.1001-5965.2023.0575
Funds:

Key Project of Applied Basic Research Multi-Investment Fund of Tianjin Municipal (21JCZDJC00780)

More Information
  • Corresponding author: E-mail:wangch@cauc.edu.cn
  • Received Date: 07 Sep 2023
  • Accepted Date: 03 Nov 2023
  • Available Online: 24 Nov 2023
  • Publish Date: 22 Nov 2023
  • In order to solve the technical problem of continuous descent operation (CDO) in the high traffic density terminal control area, a multi-aircraft low-carbon trajectory collaborative planning method for a point merge system (PMS) is proposed. Firstly, the mechanism of additional carbon emission based on the artificial decision-making of the air traffic controller was analyzed. Secondly, a multi-stage optimal control model of CDO was developed, taking into account the level flight arc segment of the PMS, using the low-carbon 4D trajectory of a single aircraft as the research object. Then, with the objective of minimum overall operation time, the 4D trajectory collaborative optimization model of multiple aircraft CDO was established with considering the arrival traffic flows’ flight conflict constraint. Finally, the validation experiment was carried out with the real PMS and its air traffic track data. In addition to providing the aircraft landing sequence that supports efficient operation, the experimental findings demonstrate that this method reduces the overall flight duration by 12.2% and CO2 emissions by 15.7%. It also provides plausible low-carbon 4D paths to accomplish this landing sequencing.

     

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