Publications

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…

This test method describes the procedure for determining the cone penetration of a joint sealant at 25 

This test method describes the procedure for determining the resistance of hot poured joint sealants to flow at a temperature of 70 °

This test method sets out the procedure to be used to prepare joint sealant samples for testing.

This test method describes the procedure for determining the degree to which a joint sealant is degraded by heat during prolonged storage (6 

Austroads Technical Specification ATS 3470 sets out the requirements for: the supply of hot placed elastomeric / crumb rubber joint sealant

This webinar introduces Austroads new projects lined up for the 2022-23 financial year. The session is most beneficial to consultants who may be interested in tendering for Austroads projects. Upcoming projects focus on road network resilience,…

This report presents an agency business capability model to support connected vehicles. The model defines the required agency business capabilities and associated capability maturity target states from business and technology perspectives. Connected…

This report is an addendum to the Austroads Future Vehicles 2030 report (AP-R623-20), published in June 2020. Future Vehicles 2030 included forecasts of sales and fleet penetration for eight vehicle technologies or uses, including Automated Driving,…