When and how to partition airspace: a data-driven control framework for dynamic airspace sectorization based on multi-objective receding horizon optimization

Jinghan Du, Hongwei Li, Weining Zhang

Open source

DOI: 10.1038/s41598-026-57549-4
Published: 2026-07-01
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-57549-4,
  title = {When and how to partition airspace: a data-driven control framework for dynamic airspace sectorization based on multi-objective receding horizon optimization},
  author = {Jinghan Du and Hongwei Li and Weining Zhang},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-57549-4},
  url = {https://doi.org/10.1038/s41598-026-57549-4}
}

RIS

TY  - JOUR
TI  - When and how to partition airspace: a data-driven control framework for dynamic airspace sectorization based on multi-objective receding horizon optimization
AU  - Jinghan Du
AU  - Hongwei Li
AU  - Weining Zhang
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-57549-4
UR  - https://doi.org/10.1038/s41598-026-57549-4
ER  -

APA

Du, J., Li, H., & Zhang, W. (2026). When and how to partition airspace: a data-driven control framework for dynamic airspace sectorization based on multi-objective receding horizon optimization. Scientific Reports. https://doi.org/10.1038/s41598-026-57549-4

Source records

crossref · retrieved 2026-11-06T20:53:31.291Z