The results of an eight-month study of the benefits of moving to more connected vehicle technology on Australian roads have been released.
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
Watch the video of our Insights from COVID-era traffic data webinar Q&A, featuring speakers from Intelematics, TomTom, and the University of Melbourne.
The technology on iMOVE’s project on the AIMES transport test bed is about to have an AI-enabled video system to make its intersections safer.
A PhD research project aiming to build a model/platform using real-time feeds of all mode movements from smart intersections to optimise signal control.
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
An interview with Majid Sarvi, chair in Transport Engineering, and professor in Transport for Smart Cities at the University of Melbourne.
Australia and the US state of Michigan connected via an MOU this week, looking to share knowledge and expertise in all things Intelligent Transport Systems.
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.
The University of Melbourne now has a driverless shuttle as a research tool for its Australian Integrated Multimodal EcoSystem (AIMES).
Cubic Transportation Systems, Transport for NSW, RAC WA, and the University of Melbourne were winners in the 2017 ITS Australia National Awards.
Follow the week’s news and events from iMOVE at the ITS World Congress 2017, in Montreal.
AIMES is a transport test bed of Melbourne roads, gathering & connecting data on how we travel, to help Australians reduce transport time, cost, & stress.