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Mobile Driver Licences: Developing a Harmonisation Roadmap
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.…
Webinar: Minimum Requirements for Traffic Signs, Traffic Signals and Line Markings
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…
Water Retention of Concrete – Filtration
This test method is used to measure the ability of a concrete with a maximum coarse aggregate size of 20 mm or less to retain its water under pressure. This test determines the amount of water de-filtered when concrete is subjected to a certain…
Supply of Special Class Concrete
Austroads Technical Specification ATS 5315 sets out the requirements for the supply of Special Class Concrete used in: bridges with a design life of 100 years
Repair of Concrete Cracks
Austroads Technical Specification ATS 5341 sets out the requirements for the repair of cracks in concrete, including supply and quality of materials, surface preparation, application, relevant testing and acceptance criteria. The technical…
Coring of Hardened Concrete
Austroads Technical Specification ATS 5317 sets out the requirements for the coring of hardened concrete for the purpose of assessing the in-situ concrete properties, including compressive strength, volume of permeable voids and density. It does not…
Webinar: Development of Machine Learning Decision Support Tools for Pavement Asset Management
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…
Webinar: Success Strategies for Delivering Artificial Intelligence and Machine Learning Projects
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…
Code of Practice for the Management of Alkali Aggregate Reactivity Template
The Code of Practice for the Management of Alkali Aggregate Reactivity template has been developed for the use of Austroads member agencies. The document outlines the management strategies, testing and approval process required to regulate alkali…
Development of Machine-Learning Decision-Support Tools for Pavement Asset Management
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…