Publications

The Australia and New Zealand Roads Capability Analysis: March 2024 Update provides a half-year update to the report published by Austroads in September 2023. It evaluates the skills and capabilities required by Austroads member agencies in the next…

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…

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…

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,…

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…

Road agencies increasingly recognise the value of coordination and cooperation with public transport operators in responding to road and transport incidents, as it helps support a more holistic and integrated multimodal approach to minimising…