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.…

The Department of Infrastructure, Planning and Logistics held a webinar on the 16 November 2023 to update industry on the Northern Territory&rsquo

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…

In this webinar, Chris Koniditsiotis, Lead Implementation Consultant and Patsy Thomas, National Temporary Traffic Management (TTM) Operations Manager provide an update on the implementation and operational commencement of the Austroads National…

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…