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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…
Prolonging the Life of Road Assets Under Increasing Demand: A Framework and Tools for Informing the Development and Justification of Asset Preservation and Renewal
This report provides an evaluation framework, practices and supporting tools for evaluating road preservation and renewal treatment options for predominantly sprayed seal flexible pavements. It includes a compilation of case studies based on a…
Strategy for an Improved Mechanistic-empirical Flexible Pavement Treatment Design
This report details research undertaken to improve the mechanistic-empirical procedure for pavement rehabilitation and strengthening treatment design included in Austroads Guide to Pavement Technology Part 5: Pavement Evaluation and Treatment Design.…
Implications of Pavement Markings for Machine Vision
This report examines how longitudinal pavement markings affect automated steering functions and whether changes to design and maintenance practices could improve the support lane markings provide for current advanced drivers assistance systems and…
Guidance and Readability Criteria for Traffic Sign Recognition Systems Reading Electronic Signs
This report proposes electronic sign readability criteria for use by jurisdictions in the design and testing of electronic signs. It considers the requirements of traffic sign recognition systems in current vehicles and those soon to enter the…
Future Vehicles 2030
Australian and New Zealand vehicle fleets may be entering a period of significant change due to the emergence of Automated, Connected and Electric Vehicles and new models of vehicle ownership and use such as ride sharing services. This report…
Education and Training for Drivers of Assisted and Automated Vehicles
This report documents the outcomes of research designed to: examine what role, if any, registration and licensing authorities should undertake to ensure that licence applicants are competent in the use of advanced driver assistance systems (ADAS
Infrastructure Changes to Support Automated Vehicles on Rural and Metropolitan Highways and Freeways: Emerging Asset Information Technology (Module 4)
Abstract The purpose of this project is to identify gaps in current physical and digital road infrastructure to support the operation of automated vehicles on key highways and freeways in Australia and New Zealand This Module 4 investigates emerging…
Infrastructure Changes to Support Automated Vehicles on Rural and Metropolitan Highways and Freeways: Asset Standards (Module 3)
This report investigates road asset standards relevant to connected and automated vehicles (CAVs) on metropolitan and rural highways and freeways in Australia and New Zealand. It builds on previous work by Austroads and other national and…
Infrastructure Changes to Support Automated Vehicles on Rural and Metropolitan Highways and Freeways: Project Findings and Recommendations (Module 5)
The purpose of this project is to identify the gaps in current physical and digital road infrastructure to support the operation of connected and automated vehicles (CAVs) on key highways and freeways in Australia and New Zealand. By 2025, it can be…