C-ITS national harmonisation and pre-deployment research
This project will allow assessment of C-ITS benefits, deployment, & considerations & provide recommendations that could support adoption by Australian road authorities.
AI optimisation for transport corridor performance
This project will leverage AI algorithms and machine learning to optimise the performance of city roads, predicting future traffic speeds and responding to them.
Paving the way for efficient urban freight delivery
The development of the Freight and Servicing Last Mile Toolkit, the outcome of a project involving Transport for NSW, University of Melbourne, and iMOVE.
Integrated connected data for safe, efficient traffic management
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
Last mile van delivery planning and optimisation
Development of systems of classifying street networks & local terrain & delivery density, where a mix of delivery modes may improve on mono-modal delivery.
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.