Measures to reduce iron ore and coal rail track contamination
A project focused on a significant issue in the heavy haulage rail sector: accumulation of iron ore, coal dust, etc. within the train load-out system and dumpers.
Development of a rail-based conveyer auto cart change facility
Development of an automated carriage changeout system, eliminating the need for workers to enter and isolate the conveyor for carriage-related maintenance.
Reduction of rail track contamination from iron ore and coal dust
This project will provide insight to rail infrastructure system owners/operators to support future efforts in designing for resilience and climate change adaptation.
Vale Gary Liddle
Vale Gary Liddle, our former Chairman, and a giant of the Australian transport industry.
2022 Undergraduate Student Industry Program awards
A showcase of winning video presentations on student projects from iMOVE’s 2022 intake of the Undergraduate Student Industry Program.
Real-time railway corridor perception
This project will develop a real-time and lightweight perception unit for use in the rail corridor, for remote/semi-autonomous completion of many routine tasks.
Secure supervisory architecture for smart & autonomous vehicles
The focus of this PhD project is the security technologies that would enable authorities to govern, protect, and regulate SAVs access to the public road network.
Automated farm-to-shop freight quality assurance system
This PhD project will develop an end-to-end food shipping quality monitoring and assurance system based on a wide area IoT network architecture.
How understanding disease spread can help traffic congestion
Could the need to track the coronavirus’ spread hold clues to non-health areas, such as traffic congestion? A new iMOVE project is testing the model.
CSIRO Data61 wins iMOVE award
Data61 was the inaugural winner of the iMOVE-sponsored Excellence in Research & Development Award at the ITS Australia National Awards 2020.
Vehicular network architecture using the 5G standard
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
