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Traffic accident risk prediction based on deep learning and spatiotemporal features of vehicle trajectories — Europe PMC PMID:40315419

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/40315419
DOI: 10.1371/journal.pone.0320656
License (as archived): solo-consultazione
Archived: 2026-10-08T02:27:17.174Z
SHA-256 of the archived text: 993dd647082ed101a2479cc8251981f0d1e159bf64fd27e071d927da60b33e25
Stable URL of this page: https://metraipolis.com/documento/dc_bd804cc94fe2

How to cite

Traffic accident risk prediction based on deep learning and spatiotemporal features of vehicle trajectories — Europe PMC PMID:40315419 — Europe PMC (en), https://europepmc.org/article/MED/40315419 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_bd804cc94fe2 (Metraipolis archive dc_bd804cc94fe2, sha256 993dd647082ed101a2479cc8251981f0d1e159bf64fd27e071d927da60b33e25)

BibTeX

@misc{dcbd804cc94fe2,
  title = {Traffic accident risk prediction based on deep learning and spatiotemporal features of vehicle trajectories — Europe PMC PMID:40315419},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/40315419},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_bd804cc94fe2; sha256 993dd647082ed101a2479cc8251981f0d1e159bf64fd27e071d927da60b33e25},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/40315419. Agents can read the archived copy with the MCP tool read_document.