Vulnerable road user safety and efficiency at intersections
This project leverages AI-driven video analytics to improve safety and efficiency for vulnerable road users at Melbourne intersections.
Optimisation of loading dock capacity in new buildings: A tool
An overview of the completed “Evaluating loading dock capacity in new developments” project, including the final report and access to the Urban Freight Forecasting Model.
Melbourne trams: Better data to improve operation and planning
This project’s aim was to improve efficiency of tram operations, assist with route and service planning, integration, and operation of tram routes with other modes of transport.
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.