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.
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.
Research into customer-focused safe operation of CAVs in various urban environments to improve road user safety & inform NSW of road readiness for CAVs.
This project will identify appropriate use cases for construction material supply chain data sharing possibilities for social, economic, & environmental outcomes.
This project will create a model for estimating delays at Perth’s traffic signals, which would inform project decisions and operational strategies.
This project will create a health and wellness program for people working across the transport and logistics industries in Australia.
This project will see an Aimsun Live pilot system installed in Queensland, providing real-time simulation-based prediction, projecting 60 minutes ahead.
This project will use the Chatswood CBD as a living laboratory using data to improve visitor experience, with an initial focus on parking.
R&D of new algorithms to process raw data generated by the current RT4 radar, assigning an Austroads classification to all detected vehicles.