Publications

This webinar presents the results of the Austroads project that developed guidelines for incident response vehicles and truck-mounted attenuators.

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…

Austroads has developed a set of reference architecture models, content and guidance for use by road agencies to identify, plan and improve their multimodal incident management (MMIM) capabilities. MMIM is the resolution of an unplanned incident…

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…

Austroads is undertaking a multi-stage project to support road transport and traffic agencies across Australia to manage the impacts of third-party assets on the successful delivery of road infrastructure projects, including road projects with a…

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…

Two parts of the Austroads Guide to Project Delivery &ndash

The Austroads Road Authority Data for Connected and Automated Vehicles (RADCAV) project studied the provision of agency-owned data to connected and automated vehicles (CAVs) addressing six high-priority data sets: roadworks, incidents, variable…

Currently road authorities rely on multiple different decision making-frameworks to help identify investment opportunities for the road network. The framework used often varies depending on the nature of the expenditure. For example, cost benefit…