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This section includes managing drivers with health risks, requirements for visiting drivers, NEVDIS, and the introduction of connected and automated vehicles to Australasia.
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Taking Representative Samples of Bituminous Binders From Road Tankers from Sampling Points Only
AP-PWT56-24
13 May 2024
Pavement
More
This work tip provides guidance on binder sampling to ensure that consistent and reliably representative samples are obtained so that any test results: represent, as near as practicable, an average of a consignment or batch
Webinar: Optimising Project Delivery Performance – Accelerated Projects
WEB-R706-23
27 Feb 2024
Project Delivery
More
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…
Optimising Project Delivery Performance (Accelerated Projects)
AP-R706-24
29 Jan 2024
Project Delivery
More
This report provides practical advice and examples of ways to successfully accelerate transport infrastructure projects and programs up to $500 million. An accelerated project or program has delivery expedited, typically in response to external…
Webinar: Development of Machine Learning Decision Support Tools for Pavement Asset Management
WEB-R682B-22
24 Feb 2023
Asset Management
More
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
WEB-R682A-22
21 Feb 2023
Asset Management
More
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
AP-R682-22
20 Dec 2022
Asset Management
More
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: Review of Impact of Service Authorities on Infrastructure Projects
WEB-R679-22
1 Dec 2022
Project Delivery
More
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…
Review of Impact of Service Authorities on Infrastructure Projects
AP-R679-22
30 Nov 2022
Project Delivery
More
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…
Assessing Fitness to Drive: Implementation Strategy 2022
AP-R675-22
13 Jul 2022
Assessing Fitness to Drive
More
This report describes the proposed Strategy for implementation of Assessing Fitness to Drive for consideration by the Austroads Board. It has been developed based on the Implementation Framework endorsed by the Austroads Board in 2021, together with…
Assessing fitness to drive for commercial and private vehicle drivers
AP-G56-22
Edition: 6.0
22 Jun 2022
Assessing Fitness to Drive
More
Driving a motor vehicle is a complex task involving perception, appropriate judgement, adequate response time and appropriate physical capability. A range of medical conditions, disabilities and treatments may influence these driving prerequisites.…
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13 May 2024
Austroads and AfPA update bituminous binder sampling practice guidelines
9 May 2024
Neil Scales honoured with Austroads Medal for transformational leadership
6 May 2024
Congratulations to Madeleine McManus OAM on receiving 2024 John Shaw Medal
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