Understanding perceived safety and travel behaviour in shared spaces
This project will explore how traffic conditions, design quality, and user perceptions interact to influence safety and travel choices.

Overviews, progress reports, and general info for research and development projects carried out by iMOVE and its partners, in the areas of: Intelligent Transport Systems, Freight and Logistics, and Personal and Public Mobility.
This project will explore how traffic conditions, design quality, and user perceptions interact to influence safety and travel choices.
An overview of the completed “Mitchell Smart Freeway (Southbound): Live decision support” project, enabling MRWA to exhaustively test response plans.
Using sensors to detect unsafe following distances, the system aims to reduce tailgating by encouraging better behaviour through targeted messages.
An overview of iMOVE’s completed project “Desire lines user behaviour: Initial research”, along expected project impact and downloadable final report.
This project will design a framework and operational standards, incorporating simulation of automated container transfers in a digital twin.
The LCLF Knowledge Hub will create a publicly accessible, evidence-based digital platform for Low Carbon Liquid Fuels.
Deployment and testing the utility of this new Local Positioning System (LPS) across multiple high-value transport use cases.
This project to improve the platform will allow the RideScore program to be replicated in schools across Australia, increasing active travel by students.
Exploring a new Bluetooth technology called Auracast. that helps people with disability hear announcements and safety messages more clearly in public places.
This project will co-adapt the Pre-learner Driver Education Program for cultural relevance with First Nation communities, and blueprint Indigenous Data Sovereignty.
This project will test an electric converter dolly to play a key role in enabling all heavy vehicles in Australia to transition to zero-emission road freight transport.
This project will use transport and logistics models to anticipate & design next-gen delivery models for emergency medical services across Australian capital cities.
A project in which 400 See.Sense smart bike lights will collect data for predictive safety insights for transport planners in Sydney and the Victorian Surf Coast region.
This project focuses on adapting the proven, internationally leading Vehicle-to-Grid (V2G) model from Dutch city Utrecht to the Australian context.
This research project will assess the suitability of new fuel technologies for domestic commercial vessels operated in Tasmanian waters.
Development of an interactive bussing tool to accurately visualise disruptions, quantify customer impacts, and recommend actionable and right size responses.