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…

Austroads and the Queensland Department of Transport and Main Roads (TMR) presented a joint seminar on 8 February 2023 showcasing Queensland's transport infrastructure resilience and response to weather events. The event provided a platform for all…

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…

The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for a lower cost. This has the potential to improve the asset management of roads by enabling better decision making and providing a…

This report identifies and evaluates technology solutions that meet asset management needs relating to road pavement performance. The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for…

Climatic conditions play a significant role in the performance of road infrastructure. Models which have been developed to describe road performance can benefit from accurate knowledge of climatic trends. Without access to complete historical data,…

This discussion paper is aimed to identify the issues relevant to the future operations of road network asset managers, arising from the consequences of greenhouse gas (GHG) emission reduction in the context of reducing the impact of climate change.…

This report documents work undertaken in relation to the Austroads Business Systems Project BS.A.N.523 Salinity and Rising Water-Tables - Risks for Network Asset management. The purpose of the project was to identify the potential impact of dryland…