Data61 was the inaugural winner of the iMOVE-sponsored Excellence in Research & Development Award at the ITS Australia National Awards 2020.
An exciting project of ours has commenced in Queensland, in the town of Ipswich, the largest connected vehicle trial in Australia.
Ongoing, working from home could help unclog our roads. But to confirm this, we need to gain a deeper understanding of the drivers of this behaviour shift.
How is COVID-19 affecting iMOVE’s operations and drive for innovation in the transport sector? iMOVE MD Ian Christensen provides his thoughts.
iMOVE MD Ian Christensen’s wrap-up of the 2019 ITS World Congress. What were the main trends, latest developments, and how is Australia faring?
Infrastructure Australia’s 2019 Australian Infrastructure Audit and its assessment of current and future traffic congestion really has people talking.
The Federal Government’s funding the design and trialling of a national freight data hub was universally welcomed by the freight and logistics sector.
iMOVE wants to embrace and engage with all those leaders in the transport and mobility space who were not able to join the CRC at its start.
Faced with the demands of the coming transport revolution, collaboration has never been so necessary as it is now.
iMOVE’s Freight Data Requirements Study is a blueprint for the ways technology can increase efficiency in Australia’s freight and logistics sector.
Where do iMOVE project ideas come from? In this thoughtpiece iMOVE MD Ian Christensen discusses running events as a catalyst for project formation.
Data protection, data privacy … we need to talk about these things because they need urgent attention, and they affect all of us.
How can you best reap benefits from big data? Through data sharing. A look at the considerations and hurdles involved in data sharing.
With smart mobility & less vehicles on the road, & safer driving, where now for the collision repair industry?
Affordable advances in tech are bringing possibilities of real change to freight & logistics, to combat inefficiency & congestion, & increase profitability.
What are the processes involved in turning extremely large datasets into information that can help us in making good, data-based transport decisions?