Recognition of Patterns in Flight Tracking Data

Bachelorproject @ SDU, F23. Software Engineering

Students:

• Jonas Solhaug Kaad (jokaa17@student.sdu.dk)
• Victor Andreas Boye (viboy20@student.sdu.dk)
• Alexander Vinding Nørup (alnoe20@student.sdu.dk)

Supervisor: Kamrul Islam Shahin - kish@mmmi.sdu.dk

In collaboration with ForeFlight.

Development / Running locally

Prerequisite: dotnet 7.x: https://dotnet.microsoft.com/en-us/download

1. Clone the repository
2. Copy: FlightPatternDetection/appsettings.json to FlightPatternDetection/appsettings.Development.json and change: mysqlConnectionString to point to a MariaDB server with FlightPatternDetection/Database_Creation.sql loaded in.
   • Optional: Change Logging.LogLevel.Default to Debug in FlightPatternDetection/appsettings.Development.json
3. Find the latest NAVDB and place it here FlightPatternDetection/NAVDB.sqlite.
4. Optional: Load in some fallback flights into FlightPatternDetection/FallbackHistoryData/. Get some from a good friend or create your own by using avalaible python scripts in scripts/ (requires FF-vpn). (Remember that flights should be stored as .JSON)
5. Debug and run. Use the FlightPatternDetection project as your startup project. Use the http or https launch-profile.