Publications

This webinar focuses on the recent update of Section 3 of the Austroads Guide to Bridge Technology Part 7.

Guide to Bridge Technology Part 7 discusses the structural management of existing bridges in practical technical terms. It documents practices relevant to forward works programming, inspection, recording, reporting, evaluation of bridge condition…

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…

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…

The webinar showcases the projects recognised with the Austroads Bridge Awards. The Austroads Bridge Awards acknowledge individuals and organisations that have delivered outstanding bridge structures and design across Australia and New Zealand. The…

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…

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…