Developing a low/zero emission transport strategy for Australia
This project will provide evidence-based guidance to various levels of government for a Low and Zero Emission Transport Strategy for Australia.
Pedestrian and cyclist interaction with autonomous vehicles
This project will investigate AV/pedestrian interaction and AV/cyclist interaction to help introduce AVs to Australian roads safely and effectively.
Neil Sipe: Trouble with the kerb
Interview with Neil Sipe, the recently retired Professor of Urban and Regional Planning at the University of Queensland, but still consulting in the area.
Macroscopic Fundamental Diagram: Measuring flow and density
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
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.
National Freight Data Hub to increase efficiency and productivity
iMOVE’s Freight Data Requirements Study is a blueprint for the ways technology can increase efficiency in Australia’s freight and logistics sector.
Integrated land use and transport modelling
Work toward a proposed framework and subsequent model to better utilise and account for changes in the future transport network capacity.
Zuduo Zheng: CAV man
Zuduo Zheng is looking closely at the challenges of putting connected and automated vehicles on our roads. iMOVE asks him about the work he’s doing.
Freight data requirements study
Identification & articulation of data requirements in the freight & supply chain sector, along with investigation of openness of companies to sharing data.
Dr Dorina Pojani: Sees the forest and the trees
In this interview with Dr Dorina Pojani (University of Queensland) we discuss her well-travelled background, and thoughts on transport.
Parking management in the smart mobility age
Improvement of Brisbane’s parking management through analysis, prediction, and data sharing.