Publications

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…

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…

Third party assets on road and rail projects have a significant impact on major projects. This report documents a project to reduce the negative impacts of third-party assets on the successful delivery of road infrastructure projects across…

Two parts of the Austroads Guide to Project Delivery &ndash

Guide to Project Delivery Part 2: Planning and Control gives guidance to project delivery practitioners on a number of concepts relating to planning and control of the delivery phase, as opposed to the preceding initiation phase and subsequent…