An operational spatiotemporal prediction framework for sector congestion in air traffic management.
- DOI
- 10.1371/journal.pone.0355927
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0355927,
title = {An operational spatiotemporal prediction framework for sector congestion in air traffic management.},
author = {Chen H and Gao Z and Yan X and Yi Y and Gong J and Wu L},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0355927},
url = {https://doi.org/10.1371/journal.pone.0355927}
}RIS
TY - JOUR TI - An operational spatiotemporal prediction framework for sector congestion in air traffic management. AU - Chen H AU - Gao Z AU - Yan X AU - Yi Y AU - Gong J AU - Wu L PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0355927 UR - https://doi.org/10.1371/journal.pone.0355927 ER -
APA
H, C., Z, G., X, Y., Y, Y., J, G., & L, W. (2026). An operational spatiotemporal prediction framework for sector congestion in air traffic management.. PloS one. https://doi.org/10.1371/journal.pone.0355927
Source records
- pubmed · retrieved 2026-11-10T09:49:39.832Z