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…

Over the last decade there has been a trend by a number of governments to invest more heavily in transport infrastructure and systems, and to accelerate programs of work. This has been a response to various ‘burning platforms’ including transport…

This report provides practical advice and examples of ways to successfully accelerate transport infrastructure projects and programs up to $500 million. An accelerated project or program has delivery expedited, typically in response to external…

Following previous workforce capability studies undertaken in 2006, 2009, 2013 and 2017, Austroads engaged Oxford Economics Australia to undertake a new workforce capability analysis for member authorities based on planned and forecasted…

This report evaluates the skills and capabilities required by Austroads member agencies in the next decade to achieve their service objectives. It compares these requirements with the current and projected future workforce, identifies potential…

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…