Stage 2: Recalibrating Adelaide’s strategic transport model
This study will develop a robust, efficient and cost-effective methodology for the calibration of the Strategic Adelaide Model using new data collection methods.
This study will develop a robust, efficient and cost-effective methodology for the calibration of the Strategic Adelaide Model using new data collection methods.
This project will investigate the use of Co-operative Intelligent Transport Systems (C-ITS) technologies to improve safety for motorcycle riders.
Download ‘Key Freight Route Mapping’, the final report from our Mapping Australian freight: SWOT analysis project.
An investigation of technologies that help communities, stakeholder groups and decision makers to understand road safety.
This project will analyse the public transport bus network of metropolitan Melbourne, and build a spatio-temporal charging map for the use of electric buses.
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
This project aims to perform a comprehensive diagnostic of TMR’s motorway control algorithms and opportunities for optimisation using emerging technologies.
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.
A comparative assessment of C-ITS technologies & international standards, helping inform future decisions for nationally consistent approaches for deployment.
The major findings from our Recalibrating Adelaide’s strategic transport model project, plus download a copy of the final report.
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 seeks to gain a holistic understanding of the most valuable applications of 5G in transport, including passenger safety and freight productivity.
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.
Demonstrating the use of historic crowdsourced data to create value in road management process by prototyping tools supporting road network management.
This study will investigate Australia’s emerging drone sector by summarising the current state of development and lessons learnt from other countries.