Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.

Zhang P, Liu W, Xu X.

DOI: 10.1038/s41598-026-59605-5
Published: 2026-06-29
Container: Sci Rep
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59605-5,
  title = {Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.},
  author = {Zhang P and  Liu W and  Xu X.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-59605-5},
  url = {https://doi.org/10.1038/s41598-026-59605-5}
}

RIS

TY  - JOUR
TI  - Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.
AU  - Zhang P
AU  -  Liu W
AU  -  Xu X.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-59605-5
UR  - https://doi.org/10.1038/s41598-026-59605-5
ER  -

APA

P, Z., W, L., & X., X. (2026). Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.. Sci Rep. https://doi.org/10.1038/s41598-026-59605-5

Source records

europe-pmc · retrieved 2026-09-25T17:59:23.205Z