Opinion pieces from iMOVE, its participants, and smart mobility experts from across the world, on all things smart mobility, freight and logistics, transport data, and more.
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.
The role of government in transport has until now been one of supreme authority. But ongoing, it will to have to learn to share with others.
There are at least 6 forces that are expected to disrupt the urban mobility landscape. We investigate the what, why, and how, and what the future might be.
The transcript of The Hon. Melissa Horne’s opening address about Victoria’s public transport system, given at iMOVE’s Transport of Tomorrow Symposium.
Faced with the demands of the coming transport revolution, collaboration has never been so necessary as it is now.
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?
The Institute of Transport & Logistics Study (ITLS) has outlined its research catalogue of activities & evidence in & around Mobility as a Service (MaaS).
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?