Victor Deville – iMOVE PhD student
Victor Deville’s PhD project is Non-invasive vehicle classification solution using tracking radar. Read about the project, and his approach to the research.
VIDEO: C-ITS in Australia – lessons and opportunities
Watch the video recording of our ‘C-ITS in Australia:’ webinar, plus an invitation to participate in future C-ITS projects.
Melbourne tram load estimation and real-time load prediction
This project will develop data fusion and machine learning models to estimate service use for Melbourne trams and make real-time prediction of tram loads.
WEBINAR: C-ITS in Australia – lessons, the future
This webinar will look at progress made to date with C-ITS technologies in Australia, and discuss ideas about how we can build on this knowledge.
Optimisation of loading docks in new buildings
A downloadable progress report on our Evaluating loading dock capacity in new developments project.
After the pandemic: Improving Sydney metro freight logistics
The main aim of this project is to develop a set of effective policy responses for improving the efficiency of delivery operations in the Sydney metropolitan area.
How soon is now? The convincing case for connected vehicles
The results of an eight-month study of the benefits of moving to more connected vehicle technology on Australian roads have been released.
Non-invasive vehicle classification solution using tracking radar
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.
Traffic data webinar Q&A video
Watch the video of our Insights from COVID-era traffic data webinar Q&A, featuring speakers from Intelematics, TomTom, and the University of Melbourne.
AIMES about to get GRIDSMARTer
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.
Multimodal operation of smart intersections
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.
Evaluating loading dock capacity in new developments
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.
Accelerating the uptake of C-ITS technologies in Australia
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
Majid Sarvi: AIMES for the future
An interview with Majid Sarvi, chair in Transport Engineering, and professor in Transport for Smart Cities at the University of Melbourne.
Australia and Michigan sign Intelligent Transport Systems MOU
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.
Data use for improved transport management and journey reliability
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.