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cff-version: 1.2.0
title: "EnvShip-Bench Cross-Domain Extension: A Multi-Jurisdiction, Multi-Scale, Context-Aware Ship Trajectory Prediction Benchmark"
message: "If you use EnvShip-Bench in your research, please cite this work and the upstream AIS providers."
type: dataset
authors:
- family-names: Ma
given-names: Kun
email: kunma1220@gmail.com
orcid: ""
abstract: >
The EnvShip-Bench cross-domain extension augments the original DMA-only
benchmark with three additional jurisdictions (NOAA, Piraeus, Norway)
and a long-horizon Track B (30 minute observation, 60 minute prediction).
The four subsets together provide 330,000 Track A samples and 106,857
Track B samples curated across four operationally distinct regimes:
Northern European coastal traffic, US open-ocean transits,
Mediterranean port and ferry traffic, and Norwegian fjord and coastal
traffic. Each sample is paired with a 6-channel OpenStreetMap raster,
2-channel signed-distance field, exact polylines, 14-dimensional scene
descriptors, and up to ten neighbour vessels within a 3 km radius
(with CPA / TCPA). For the Piraeus subset (AIS year 2019), we
additionally release an env / SDF stack rebuilt with the contemporary
Geofabrik 2020-01-01 OSM snapshot to eliminate temporal mismatch with
recently-built port infrastructure. A new Stage 17 quantifies and
flags OSM temporal-consistency per sample.
version: "1.0"
date-released: 2026-06-13
keywords:
- "ship trajectory prediction"
- "AIS"
- "maritime benchmark"
- "cross-domain"
- "environmental context"
- "signed distance field"
- "social interaction"
- "long horizon forecasting"
license: CC-BY-4.0
repository-code: "https://github.com/mark000071/envship_v2_datasets"
url: "https://huggingface.co/datasets/mark000071/envship_v2_datasets"
preferred-citation:
type: conference-paper
title: "EnvShip-Bench: A Cross-Domain Multi-Scale Benchmark for Context-Aware Ship Trajectory Prediction"
authors:
- family-names: Ma
given-names: Kun
collection-title: "Proc. IEEE International Conference on Data Engineering (ICDE)"
year: 2026
# Upstream AIS providers — please cite alongside this work
references:
- type: dataset
title: "Danish Maritime Authority AIS Data (aisdk-2025-09)"
authors:
- name: "Danish Maritime Authority"
url: "https://www.dma.dk/safety-at-sea/navigational-information/ais-data"
license: CC-BY-4.0
- type: dataset
title: "NOAA / MarineCadastre AIS Data, March 2025"
authors:
- name: "U.S. National Oceanic and Atmospheric Administration"
url: "https://marinecadastre.gov/"
notes: "U.S. government work in the public domain."
- type: dataset
title: "The Piraeus AIS Dataset for Large-scale Maritime Data Analytics"
authors:
- family-names: Tritsarolis
given-names: Andreas
- family-names: Kontoulis
given-names: Yannis
- family-names: Theodoridis
given-names: Yannis
year: 2022
doi: "10.5281/zenodo.6323416"
license: CC-BY-4.0
- type: dataset
title: "Kystverket / Kystdatahuset AIS positions"
authors:
- name: "Kystverket (Norwegian Coastal Administration)"
url: "https://kystdatahuset.no/"
license: NLOD-2.0
- type: dataset
title: "OpenStreetMap contributors"
authors:
- name: "OpenStreetMap contributors"
url: "https://www.openstreetmap.org/copyright"
license: ODbL-1.0
notes: "Cartographic basis for all environmental rasters and signed-distance fields."
- type: dataset
title: "Geofabrik OpenStreetMap historical extracts (greece-200101.osm.pbf)"
authors:
- name: "Geofabrik GmbH"
url: "https://download.geofabrik.de/"
license: ODbL-1.0