Short wrap-ups of completed iMOVE project Scroll down to the bottom of each of the pages below to read the wrap-up.
For a list of all iMOVE projects visit the List of iMOVE projects page.
An overview of the completed project “High-speed in-situ characterisation of Aeroperm Ribbon”.
An overview of the completed project “Evaluating the real-world effectiveness of ADAS?”, a project with IAG and the University of Sydney.
An overview of the completed project, “Gap Drone long-range flight test and ground station development”.
A wrap-up, and downloadable final report, for the competed project “Big data for strategic transport planning”.
A wrap-up of the competed project “FILTER: Framework for evaluation of precincts”., with objectives, overview, and expected project impacts.
A wrap-up of the competed project “Smart parking management in the smart mobility age”., including what’s been implemented following post-project.
The outcome of this project is expected to yield reliable and consistent incident records, providing accurate statistics and better insights for enhanced decision-making.
This project will test and improve the cost and policy settings of the National Variable Pricing Matrix for community transport providers to ensure sustainability.
Development and deployment of a proof of concept Real-Time Decision Support Tool for the Mitchell Smart Freeway (Southbound).
Development of a roadmap for the governance of truck movement data, analysing current / future policy and data sharing landscape for truck telematics data.
This project will provide insight to rail infrastructure system owners/operators to support future efforts in designing for resilience and climate change adaptation.
Development of a proof-of-concept tool for the prediction of replacement bus needs during unexpected network disruptions.
This study of advanced technologies for road user detection, sensing, and perception has the aim of enhancing traffic operations at signalised intersections.
An investigation of technologies that help communities, stakeholder groups and decision makers to understand road safety.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.