Demand management/estimation in large-scale traffic networks
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.

Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
A feasibility study looking at the possibility of diverting some freight tasks from the road network to utilising spare capacity on public transport.
This project looks to consider current parking challenges, & work towards a solution that enables the wider availability & usability of car-share services.
Improvement of Brisbane’s parking management through analysis, prediction, and data sharing.
Development of an algorithm to provide priority at traffic lights to public transport, also with potential to reduce stop time for private vehicles.
This iMOVE research project involves the collection and analysis of detailed data to implement and validate advanced algorithms, to support the early identification of the onset of congestion and identify how best to mitigate its potential impact.