Connected and Automated Vehicle accessibility guide
This project will develop guidance materials for CAV and public transport developers/operators to ensure people with disability are considered in design/implementation.
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 develop guidance materials for CAV and public transport developers/operators to ensure people with disability are considered in design/implementation.
The intent of this project is to better understand active travel demand – people’s choices to use active travel, trip purposes, and their route choices.
This project will test and improve the cost and policy settings of the National Variable Pricing Matrix for community transport providers to ensure sustainability.
This project will investigate & develop solutions for sustainable repurposing of used batteries from electric vehicles (EV), including mining trucks, buses, & cars.
This project will develop a Simulink model of the Stralis A36-HE Bonanza aircraft and hydrogen electric propulsion system (HEPS).
A wrap-up of the our completed project ‘MaaS blueprint design for regional towns and rural hinterlands’ along with all the final report documents.
Development and deployment of a proof of concept Real-Time Decision Support Tool for the Mitchell Smart Freeway (Southbound).
This project will pilot a community-run electric shuttle in Venus Bay and Sandy Point in Gippsland, and evaluate best practices to run such a service elsewhere.
Handling retired EV batteries sustainably will become a major challenge. This project, we research current and emerging practices for the next life of batteries.
This project will consider the applicability and potential for micromobility to assist with the last mile freight task in the Perth CBD and other urban areas in WA.
The overall objective of this project is to be able to provide more realistic and better travel modelling to inform and influence better policy and infrastructure decisions.
This project will move the See Me app from its current proof of concept readiness to a more commercial-ready solution.
Development of a framework to support traditional Aboriginal Cultural Land Management practices to improve the resilience of the transport corridor network.
This project will use AI and Computational Fluid Dynamics to simulate, model, and analyse flight performance in microgravity conditions.
A report on the gathering of up-to-date anthropometric data for applicability to design for the Australian transport industry.
This project will leverage AI algorithms and machine learning to optimise the performance of city roads, predicting future traffic speeds and responding to them.