Deep Data, Digitisation & Decisions
Our research looks at emerging data sources, modelling methods and technologies. rCITI stands as leading group in theorising, initiating, developing and inventing new techniques, methods (machine learning and statistical approaches) and tool to take advantage of new concepts such as shared mobility, and new data sources such as big crowdsourced data.
The Deep Data, Digitisation & Decisions pillar is led by Associate Professor Taha Hossein Rashidi.
He and his team undertakes world-class research for a wide range of clients in the following areas:-
- Crowd Sourced Data Utilization
- Travel demand modelling
- Land use modelling
- Activity-based modelling
- Transport econometrics