Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks.

Zhou W, Zhang W, Sun S, Zhang Y

Open source

DOI: 10.1371/journal.pone.0342781
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0342781,
  title = {Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks.},
  author = {Zhou W and Zhang W and Sun S and Zhang Y},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0342781},
  url = {https://doi.org/10.1371/journal.pone.0342781}
}

RIS

TY  - JOUR
TI  - Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks.
AU  - Zhou W
AU  - Zhang W
AU  - Sun S
AU  - Zhang Y
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0342781
UR  - https://doi.org/10.1371/journal.pone.0342781
ER  -

APA

W, Z., W, Z., S, S., & Y, Z. (2026). Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks.. PloS one. https://doi.org/10.1371/journal.pone.0342781

Source records

pubmed · retrieved 2026-09-27T10:39:47.345Z
europe-pmc · retrieved 2026-09-27T10:39:47.431Z
doaj · retrieved 2026-09-27T10:39:47.352Z