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Methodology for Comparing Dangerous Goods Risks in Road Tunnels to Those on Alternative Routes: Best Practice Review
This report is one of the three reports produced as part of a project undertaken to establish a comparative risk assessment method for assessing whether a tunnel route is safer than a surface route for the road transit of dangerous goods (DG)…
Methodology for Comparing Dangerous Goods Risks in Road Tunnels to Those on Alternative Routes: Case Study Using DG-QRAM in the Australasian Context
This report is one of the three reports produced as part of a project undertaken to establish a comparative risk assessment method for assessing whether a tunnel route is safer than a surface route for the road transit of dangerous goods (DG)…
Methodology for Comparing Dangerous Goods Risks in Road Tunnels to Those on Alternative Routes: Manual for Using DG-QRAM in the Australasian Context
This report is the second of the three reports produced as part of a project undertaken to establish a comparative risk assessment method for assessing whether a tunnel route is safer than a surface route for the road transit of dangerous goods (DG)…
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.…
Australasian Pedestrian Facility Selection Tool [V2.2.2]: User Guide
This user guide describes the operation and outputs of the Australasian Pedestrian Crossing Facility Selection Web Tool This guide describes the user interface of the tool, including: how to access the tool the types of facilities that can and…
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…
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…
Agency Business Capability Model to Support Connected Vehicles
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
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,…
Next Generation Asset Data Collection: Road Pavement Performance
This report identifies and evaluates technology solutions that meet asset management needs relating to road pavement performance. The increasing pace of change of technology brings considerable promise of more data, of a higher quality, captured for…