VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories (Demo Paper)

31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023(2023)

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摘要
The massive-scale data generation of positioning (tracking) messages, collected by various surveillance means, has posed new challenges in the field of mobility data analytics in terms of extracting valuable knowledge out of this data. One of these challenges is online maritime awareness, where the goal is to monitor and ensure the safety of a fleet, including, among others, collision risk assessment. To address this challenge, we present VesselVision, a system that estimates, tracks, and visualizes vessels' collision risk. In particular, our system offers a unified solution that tracks vessels that are detected to be in encountering process and assess their corresponding collision risk over streaming AIS position data in an online fashion. The functionality of our system is demonstrated over popular real-world AIS datasets.
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关键词
Data Analytics,Maritime Safety,Collision Risk Assessment,Machine Learning,Visual Analytics
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