This project aims to perform a comprehensive diagnostic of TMR’s motorway control algorithms and opportunities for optimisation using emerging technologies.
This project will complete an investigation of train horn effectiveness, & inform transport industry orgs and policymakers of future procedures and applications.
Develop performance-based, multimodal network management to better connect longer- and shorter-term transport operations activities and land use planning.
The outcome of the project is to have the capability to obtain relevant data analytics from fixed cameras & have the capability to run those analytics themselves.
This project will build a fact base to recognise the dangers of gaps between railway station platforms & any train, plus test proof of concept prototype solutions.
Register for the first webinar in The Conductor Series: The electrification of transport, from iMOVE, Centre for New Energy Technologies, and RMIT University.
A comparative assessment of C-ITS technologies & international standards, helping inform future decisions for nationally consistent approaches for deployment.
This work will develop a novel secure data provenance scheme for the Internet of Vehicles, ensuring data security, originality, & confidence in decision-making.
This project identifies key segments of the heavy vehicle fleet likely to transition to hydrogen fuel technology and provide a roadmap for the NSW government.
Register for our 11 October 2022 webinar, ‘Understanding the community’s desire to interact with Connected and Automated Vehicles’.
The major findings from our Recalibrating Adelaide’s strategic transport model project, plus download a copy of the final report.
As part of iMOVE Conference 2022 we are holding a video competition to help showcase your work on an iMOVE project. How to enter, guidelines, and more.
This PhD project aims to propose a solution to identify and possibly prevent any type of early stage C-ITS misbehaviour in the network.
This project will develop a real-time and lightweight perception unit for use in the rail corridor, for remote/semi-autonomous completion of many routine tasks.
This project will develop an evidence base to understand which traffic control measures are most effective in reducing injuries at end of queue road worksites.
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.