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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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Mobile Driver Licences: Developing a Harmonisation Roadmap
AP-R702-23
21 Dec 2023
Registration and Licensing
More
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
WEB-R696-23
18 Oct 2023
Connected and Automated Vehicles
More
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…
Minimum Requirements for Traffic Signs, Traffic Signals and Line Markings
AP-R696-23
17 Oct 2023
Connected and Automated Vehicles
More
This report identifies and discusses physical infrastructure practices that Austroads member agencies could change to improve connected and automated vehicle (CAV) support. It incorporates a review of previous Austroads publications that…
Guidelines for the trials of automated vehicles in Australia 2023
AP-C101-23
Edition: 3.0
18 Sep 2023
Connected and Automated Vehicles
More
These guidelines set out criteria that must be addressed in any application for an automated vehicle trial. The guidelines aim to provide clear guidance on matters that should be addressed by trialling organisations as part of the trialling process…
Guidelines for the Evaluation and Reporting of Automated Vehicle Trials
AP-G102-23
Edition: 1.0
27 Jul 2023
Connected and Automated Vehicles
More
These guidelines set out the key stages associated with evaluation and reporting of automated vehicle trials including: scoping and planning
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: Guidance to Support Cloud Connected Road Users
WEB-R672-22
21 Jul 2022
Connected and Automated Vehicles
More
Road users are increasingly recognising the value of data for improved mobility and safety. Austroads Cloud Connected Road User (CCRU) project studied how agencies can support cloud-connected road users through data from portable and fixed in-…
Assessing Fitness to Drive: Implementation Strategy 2022
AP-R675-22
13 Jul 2022
Assessing Fitness to Drive
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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…
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