See Me: Transforming passenger experience on public transport
This project will move the See Me app from its current proof of concept readiness to a more commercial-ready solution.
This project will move the See Me app from its current proof of concept readiness to a more commercial-ready solution.
Our smart bike light trial has ended, and the wrap-up article, and the trial’s final report, ‘Light Insight Trial (LiT) Research Report’ is available here.
Download ‘AiRAP Automation for Australian Road Safety’, the final report of what is an Intelligent Transport Systems project that is the first of its kind globally.
Download ‘A Smart Transport Technology Roadmap for Perth’, a summary of key challenges in Perth’s transport network and the technologies to address them.
This project will investigate the use of Co-operative Intelligent Transport Systems (C-ITS) technologies to improve safety for motorcycle riders.
An investigation of technologies that help communities, stakeholder groups and decision makers to understand road safety.
The Department of Transport and Main Roads (Queensland) CAVI initiative is at the forefront of work on connectivity and automation for safer & cleaner roads.
This project will complete an investigation of train horn effectiveness, & inform transport industry orgs and policymakers of future procedures and applications.
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 our 11 October 2022 webinar, ‘Understanding the community’s desire to interact with Connected and Automated Vehicles’.
After a COVID-inflicted delay, the ‘FLEXible use case – enhancing the Tonsley shuttle trial’ project in Adelaide has finally begun.
Progress on the Light Insight Trial, in which smart bike lights provide data from cyclists’ journeys to proving insights into improving safety and informing policy.
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.
This project will identify functional safety risks of selected scenarios of the remote operation of Highly Automated Vehicles, and provide recommendations.
The purpose of this project is to study the route choice behaviour of pedestrians and their attitudes towards desire lines around public transport interchanges.