{"id":76,"date":"2025-11-24T12:32:28","date_gmt":"2025-11-24T12:32:28","guid":{"rendered":"https:\/\/blog.westminster.ac.uk\/trl\/?page_id=76"},"modified":"2025-11-24T12:47:00","modified_gmt":"2025-11-24T12:47:00","slug":"projects-and-topics","status":"publish","type":"page","link":"https:\/\/blog.westminster.ac.uk\/trl\/projects-and-topics\/","title":{"rendered":"Projects and Topics"},"content":{"rendered":"\n

This page provides a non-exhaustive list of topics and projects that could be developed by students (as part of BSc and MSc dissertations, internships and research collaborations). <\/p>\n\n\n\n

For each topic, we provide high-level details and indicate possible techniques that could be used.<\/p>\n\n\n\n

For more information, contact airspace-research@westminster.ac.uk<\/a><\/p>\n\n\n\n

<\/p>\n\n\n\n

Topic<\/strong><\/td>Details<\/strong><\/td>Techniques<\/strong><\/td><\/tr>
Route clustering and generation<\/td>– Analyse historical routes by flights between origin-destination pairs
– Cluster them to representative alternatives
– Generate representative trajectories<\/td>		– Clustering
– Prediction
– Visualisation
<\/td><\/tr>
Fleet assignment to schedules<\/td>– Given a set of schedules (rotations) assign aircraft<\/td>– Data analysis
– Optimisation<\/td><\/tr>
Catchment areas automatic definition<\/td>– From flight estimate, final destination, and initial origin of passengers.
– Use of geographical, population and surface mobility data: statistical population data, maps, transport data.
– Query of mobility APIs<\/td>		– Data analysis
– Optimisation
– Visualisation
– API development
<\/td><\/tr>
Flight alternative optimisation<\/td>– Optimise rerouting of flights in the event of mass-diversions<\/td>– Data analysis
– Optimisation<\/td><\/tr>
Comparison of flight and rail delay distributions<\/td>– Analysis of rail and flight delays<\/td>– Data analysis and distribution fitting
– Simulation of the propagation of delay<\/td><\/tr>
Shortcuts and flight plan route deviation<\/td>– Continue work on shortcut modelling and prediction<\/td>– Data analysis
– ML models<\/td><\/tr>
Create data space in OpenStack<\/td>– Set up cloud infrastructure in OpenStack<\/td>– Infrastructure setting
– Cloud computing
– Data management and governance<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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