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.
Motorcyclist safety: Connected motorcycle pilot
This project will investigate the use of Co-operative Intelligent Transport Systems (C-ITS) technologies to improve safety for motorcycle riders.
Integrated connected data for safe, efficient traffic management
Project aim is to identify/analyse specific aspects of existing & emergent connected & other vehicle & traffic data, to improve existing network management.
Optimising motorway control algorithms: New technologies/data
This project aims to perform a comprehensive diagnostic of TMR’s motorway control algorithms and opportunities for optimisation using emerging technologies.
Framework to connect planning and real-time traffic management
Develop performance-based, multimodal network management to better connect longer- and shorter-term transport operations activities and land use planning.
Better video analytics for traffic data collection via fixed cameras
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.
Railway station platform gap solutions effectiveness
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.
What C-ITS technologies for national deployment in Australia?
A comparative assessment of C-ITS technologies & international standards, helping inform future decisions for nationally consistent approaches for deployment.
New data sources for Adelaide’s transport demand modelling
The major findings from our Recalibrating Adelaide’s strategic transport model project, plus download a copy of the final report.
Evaluating 5G productivity uses in transport
This project seeks to gain a holistic understanding of the most valuable applications of 5G in transport, including passenger safety and freight productivity.
Real-time railway corridor perception
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.
Working near traffic: Work zone end of queue study
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.
Improving worker safety on the M1 Motorway
This project will seek to identify opportunities for innovative ways to use existing technologies and new ways of working to improve roadside worker safety.
Using crowdsourced data to improve road management
Demonstrating the use of historic crowdsourced data to create value in road management process by prototyping tools supporting road network management.
Safety risk evaluation of the remote operation of HAVs
This project will identify functional safety risks of selected scenarios of the remote operation of Highly Automated Vehicles, and provide recommendations.
Method to monitor the share of safe travel on high-speed roads
The objective of this project is to develop a sound methodology to measure share of high-speed travel on roads with a minimum safety rating of 3 stars.