Publications

This report is an output of a project that incorporated both consultative and desktop research components to establish supportable national policy directions to inform the development of a national mobile driver licences (mDL) implementation roadmap.…

Join us for a webinar that delves into the latest on connected and automated vehicles (CAVs) and the pivotal role that interaction with physical infrastructure plays in their integration into our transport system. In this session, we will present a…

For over a decade, the National Telematics Framework has been setting a benchmark as an effective regulatory framework for optimised vehicle movements, making Australia a world-leader in intelligent access management. The National Telematics…

Between December 2023 and September 2024, Telstra, Optus and Vodafone will close their 3G networks to make room for new, faster services. The 3G network shutdown will affect vital equipment and services across the road transport sector. Devices that…

Transport for NSW (TfNSW) is transitioning from Interim On-Board Mass (OBM) management to Smart OBM. All Performance Based Standards (PBS) vehicle operators with mass monitoring as a condition of access will need to transition to the more advanced…

The Department of Transport and Planning Victoria has announced 30 June 2023 as the final deadline to have smart on-board mass (OBM) systems fitted to certain high productivity freight vehicles (HPFVs). Beyond this date, the mass limits of the below…

This is the second webinar in a two-webinar series. The session describes two case studies in the use of machine learning (ML) and artificial intelligence (AI) to create decision-support tools for pavement asset management. In the first study, we…

The Queensland Department of Transport and Main Roads has announced upcoming changes which will harmonise the use of National Telematics Framework applications for heavy vehicles in Queensland with other jurisdictions. These changes will include…

Austroads has published practical guidance to help expand the use of artificial intelligence (AI) and machine learning (ML) in pavement asset management. AI/ML projects are notoriously prone to failure, including late or incomplete delivery, or even…

This report explores the use of Artificial Intelligence (AI) and Machine-Learning (ML) in pavement asset management and details a methodology for developing new use-cases. While there are some existing uses of AI and ML technology in pavement asset…