Transport predictive solution Stage 2: AI and real-time simulation
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.
Cooperative perception is an emerging and promising technology for CAVs. Its further development has been the focus of a recently completed iMOVE project.
Hear about the exciting ITS work that has taken place in Australia over the past year, in our C-ITS projects leading the way in Australia webinar.
Read about the findings from our ‘Conceptual architecture for future transport and mobility environment’ project, and download the final report.
Find out about outcomes from Australian C-ITS projects run through iMOVE, presented by leaders and researchers on the projects.
Despite many of our partners being significantly impacted by COVID restrictions, iMOVE is still delivering $10 million of project activity annually.
This project will identify and trial suitable systems for automatic real-time patronage counting for replacement bus services during Melbourne rail disruptions.
Over the past few years the kerb – previously a relatively minor concern for city planners and transport engineers – has taken centre stage.
Watch the video recording of our ‘C-ITS in Australia:’ webinar, plus an invitation to participate in future C-ITS projects.
The research project will provide evidence of the short to medium-term changes and benefits of the Active Travel Plan, as well as enable longer-term benefits.
This project will provide robust recommendations for suggested initiatives to influence travel behaviours and demand in a university environment.
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.
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.
A Melbourne-based startup, She’s A Crowd, is helping government make transport safer for women by shining a light on gender-based violence.