Streamlining and integrating incident data
The outcome of this project is expected to yield reliable and consistent incident records, providing accurate statistics and better insights for enhanced decision-making.
Developing a microgravity simulation platform using jet aircraft
This project will use AI and Computational Fluid Dynamics to simulate, model, and analyse flight performance in microgravity conditions.
AI optimisation for transport corridor performance
This project will leverage AI algorithms and machine learning to optimise the performance of city roads, predicting future traffic speeds and responding to them.
Real-time crash risk estimation using machine learning
Using state-of-the-art machine learning algorithms, this study will use a novel modelling approach to accurately predict traffic crashes in real-time.
Michael Milford: Positioning the future
iMOVE sits down with QUT’s Michael Milford, asking him about how he came to specialise in the fields of robotics and artificial intelligence.