Project Title: Big AIS Data: Tracking Vessels over time

Morton Analytics LLC

Details
Project Title Big AIS Data: Tracking Vessels over time
Project Topics
Skills & Expertise
Project Synopsis: Challenge/Opportunity
Vessel tracking supports safety, supply chain logistics, and various forms of commerce. Vessels use Automatic Identification Signals (AIS) to communicate location and status in regular intervals (1 minute or more). This generates loads of data points that need to be managed so that analysis can be performed to track important events, generate GIS resources like polygons, and produce maps. 
Project Synopsis: Activities/Actions Required
Download and store data for AIS signals using a data model and distributed file storage plan. Create a heat map to show most common traffic and waiting areas. Support time-series view to identify patterns over time using user-controlled filters.
Project Synopsis: Expected Results
We support commercial and government clients interested in solutions and datasets of AIS.

Project Timeline

Touchpoints & Assignments Date Type

Projects Kickoff

Feb 03 2026 Event

Student Temperature Check

Mar 06 2026 Evaluation

Student temperature Check #2

Mar 27 2026 Evaluation

End of Project Self Reflection

May 08 2026 Evaluation

Program Managers

Name Organization
Clayton Looney University of Montana

Teams

Team Name  Project Name  Team Members 
No Teams Available