EV batteries: Repair, refurbish, repurpose, recycle
This project will investigate & develop solutions for sustainable repurposing of used batteries from electric vehicles (EV), including mining trucks, buses, & cars.
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).
Development and deployment of a proof of concept Real-Time Decision Support Tool for the Mitchell Smart Freeway (Southbound).
A webinar discussing the methodology and outcomes from iMOVE’s ‘MaaS blueprint design for regional towns and rural hinterlands’ project.
Included this week, crowdsourcing safe transport spots for women, Uber encourage Aussies to leave car at home, parklets vs parking, and more.
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.
Find out more about University of Western Australia PhD student Anna Gannet, and her work in the area of active school transport.
This project will leverage AI algorithms and machine learning to optimise the performance of city roads, predicting future traffic speeds and responding to them.
This project aims to develop a system to control driver / occupant emotions and mental & physical conditions to enhance road safety & in-vehicle experience.
The key aim of this is to develop the foundation to inform post-2030 electricity systems of the impact and needs brought on by the electrification of transport.