High-Resolution Port Dynamics from AIS Data in Tokyo Bay, July–October 2024

91 days of AIS vessel tracking data from Tokyo Bay between July 29 and October 27, 2024, published by Moritz Hütten in 2026. The dataset includes raw message streams and processed geospatial rasters of vessel density, speed, bearing, and inferred berth areas. It supports high-resolution analysis of maritime traffic patterns at a 1-arcsecond spatial resolution.

Use Cases

• Mapping vessel density patterns based on the provided GeoTIFF layers categorizing vessel types.
• Analyzing average vessel speeds and movement bearings across Tokyo Bay based on the processed raster data.
• Identifying and studying inferred berth and anchorage areas from the labeled GeoTIFF layer.
• Training models for vessel type classification or route prediction based on raw AIS message attributes like MMSI, SOG, and type.

Strengths

• Data covers a specific 91-day period from July 29 to October 27, 2024.
• Includes high-resolution processed rasters with a spatial resolution of 1 arcsecond.
• Raw data contains specific fields like latitude, longitude, timestamp, MMSI, speed over ground, vessel type, and destination.
• Processed data is categorized into 8 distinct layers for different vessel types.

Limitations

• Row count for the raw message data is unknown, which may limit suitability assessment.
• Column-level documentation for the raw data is absent; field semantics must be inferred after download.
• The destination field in the raw data is noted as 'uncleaned', which may require preprocessing.

Provenance

Source

Streamed from aisstream.io.

Collection Method

AIS data collection and subsequent geospatial binning and analysis as described in the associated research paper.

Time Range

July 29, 2024 to October 27, 2024.

Freshness

Last updated 2026-06-03 04:08:43; freshness should be verified.

Geography

Tokyo Bay.