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Linked Work Tips Index
This linked index of the Pavement Work Tips is designed to help practitioners easily access the more than 50 publications in the Work Tips collection.
Guide to Pavement Technology Part 2: Pavement Structural Design
Guide to Pavement Technology Part 2: Pavement Structural Design provides advice for the structural design of sealed road pavements. The advice has been generally developed from the approaches followed by the Austroads member agencies. However, as it…
Webinar: Optimising Project Delivery Performance – Accelerated Projects
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…
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…
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…
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…
Webinar: Guide to Project Delivery Parts 2 and 3 Update
Two parts of the Austroads Guide to Project Delivery &ndash
Guide to Project Delivery Part 2: Planning and Control
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…