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…

The National Walking and Cycling Participation Survey is a survey of the Australian community to understand their participation in walking 

This webinar is beneficial to consultants who may be interested in tendering for Austroads projects. The session covers new Austroads projects lined up for the 2023-24 financial year, Austroads process around research data collection and what is…

Decisions on how transport agencies provide for people walking to safely cross the roads has been greatly influenced by historical research, that has in the past failed to examine the infrastructure design and lacked behavioural data. This webinar,…

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…