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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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Austroads Test Methods and Specifications
ATM-000-24
31 May 2024
Pavement
More
This document provides a hyperlinked list of the Austroads Test Methods and Specifications.
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…
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…
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.…
Agency Business Capability Model to Support Connected Vehicles
AP-R664-22
12 Jan 2022
Connected and Automated Vehicles
More
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…
Future Vehicles Forecasts Update 2031
AP-R654-21
6 Sep 2021
Connected and Automated Vehicles
More
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,…
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21 May 2024
New report details findings of survey of medical practices and practitioners
13 May 2024
Austroads and AfPA update bituminous binder sampling practice guidelines
9 May 2024
Neil Scales honoured with Austroads Medal for transformational leadership
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