Publications

This webinar explores how to use backcasting, a vision-based planning approach, to determine what the metrics of a safe road system should look like in order to achieve zero road trauma and how the current road system is tracking towards this…

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.…

This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. It contains the factsheets, prioritisation framework, and evaluation framework from the report Practical…

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…

Road users in regional and remote Australia are at a greater risk of road trauma than those living in major cities. Approximately one third of Australians live in regional or remote areas but two thirds of fatal crashes occur in these areas. The…

Information on injurious road crashes is required for prevention. National information on fatal cases has been available for many years, but information on serious non-fatal cases has been lacking. This webinar will take participants through the…

This report details road and transport safety interventions that can reduce fatal and serious injury crashes in regional and remote areas. A literature review expands on the Austroads National View on Regional and Remote Road Safety report by…

This report details research undertaken to investigate and understand the scope of suicides in road transport, to establish mechanisms to appropriately monitor over time and seek to reduce its impact. The report comprises four project streams…

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…

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…