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

Morton Analytics LLC - Big AIS Data: Tracking Vessels over time
Due Date
Activities
Deliverables
Status
Action
Tue, 02/03/26
12:00 AM UTC
Projects Kickoff
No Deliverables
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Location: In Person
Fri, 03/06/26
12:00 AM UTC
Student Temperature Check
Required Evaluation
Evaluation submission is required.
Fri, 03/27/26
12:00 AM UTC
Student temperature Check #2
Required Evaluation
Evaluation submission is required.
Fri, 05/08/26
12:00 AM UTC
End of Project Self Reflection
Required Evaluation
Evaluation submission is required.

Program Managers

Name Organization
Clayton Looney University of Montana

Teams

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