Large Animal Activated Roadside Monitoring and Alert System
Develop and field test a large animal activated roadside monitoring and alert system for detecting large animals on roadsides and alerting motorists in advance.

Develop and field test a large animal activated roadside monitoring and alert system for detecting large animals on roadsides and alerting motorists in advance.
This project will report findings on six use cases unique to Australia as pertains to the use of autonomous vehicles on public roads.
Development of a roadmap for the governance of truck movement data, analysing current / future policy and data sharing landscape for truck telematics data.
The final reports for the Cooperative and Highly Automated Driving Safety Study, a trial of a prototype, level 4, highly automated vehicle on Queensland roads.
A critical review & evaluation of immersive reality using in training & capability development for first responders & multi-agencies in traffic incident management.
This will coordinate/assess transport challenges of multi-centre regions via an integrated hybrid Regional Macro-Mesoscopic transport modelling ecosystem.
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.
The main findings and policy implications to understand the impacts of COVID-19 and its impact on Working From Home in relation to the transport network.
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 study of advanced technologies for road user detection, sensing, and perception has the aim of enhancing traffic operations at signalised intersections.
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.
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.