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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…
Austroads Road Deterioration Model Update: Cracking
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Roughness
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Rutting
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
Austroads Road Deterioration Model Update: Deflection
This report documents a project designed to update the current Austroads road deterioration (RD) models using the long-term pavement performance and long-term pavement performance maintenance (LTPP/LTPPM) dataset and other data available, such as…
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…
Advanced Driver Assistance Systems: Practical Driver Testing Guideline
This Guideline describes common Advanced Driver Assistance Systems (ADAS) functions and their operational characteristics, including their limitations, and the conditions under which they may be allowed during on-road driver testing. The Guideline…
Webinar: NHVDCF Consultation RIS Online Briefing
In 2022 Austroads encouraged drivers, employers and trainers to have their say on proposed changes to heavy vehicle driver licensing in Australia. The changes are documented in a Consultation Regulation Impact Statement (C-RIS) which sought feedback…
Assessing Fitness to Drive: Implementation Strategy 2022
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…