A new research collaboration has revealed how integrating connected vehicle data, AI, and telematics can dramatically improve road safety, reduce congestion, and cut emissions across Australian transport networks.
The Australian project examined how real-time connected vehicle and bicycle data, combined with traditional traffic inputs and advanced modelling tools, can be used to predict road conflicts, optimise signal timing, improve cyclist safety, and provide accurate emissions estimates.
The Australian report, “Integrated Connected Data for Safer, More Efficient Transport Management” presents the outcomes of a multi-agency project led by ITS Australia and the University of Melbourne, supported by the iMOVE Cooperative Research Centre, in partnership with Department of Transport and Main Roads Queensland, Transport for NSW, Department of Transport and Planning Victoria, Transport Main Roads Western Australia, as well as the Transport Accident Commission.
Key findings include:
- AI models using connected vehicle data significantly reduced delays and congestion at intersections.
- Cyclist data from See.Sense sensors identified crash risk hotspots, surface issues, and signal delays impacting vulnerable road users.
- Vehicle trajectory analysis provided a far more accurate understanding of emissions than traditional modelling demonstrating the benefits of traffic smoothing and electric vehicle uptake.
- A dynamic dashboard now enables transport professionals to visualise speed reliability and traffic performance using just 2% sample data.
Emily Bobis, Co-founder of Compass IoT, added: “This work shows the enormous value of public-private collaboration to unlock connected data and drive real-world transport improvements.”
“This is a landmark project for Australia’s transport sector. The findings prove that connected data can deliver real-time insights that help traffic managers make safer, smarter and more sustainable decisions,” added Silje Troseth, President of ITS Australia.
ITS Australia and the University of Melbourne is now calling on interested partners to trial the tools and models developed through the project, including AI-based conflict detection, dynamic emissions mapping, and multimodal signal optimisation.
“By investing in integrated data systems today, Australia can create safer streets, reduce emissions, and prepare for a more connected, automated transport future,” said Troseth.
(Picture – ITS Australia)
