Austroads: Transport Research and Trends
Government
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 explore whether ML can learn to reproduce expert treatment decisions and automatically identify candidate projects, using historic condition, treatment and inventory data.
In the second study, we explore extensions to conventional Pavement Management System (PMS) optimisation tools which provide insight into the network-wide implications of various multi-criteria funding allocation scenarios, and the levels of service that can potentially be realised.
The webinar is presented by Tim Cross and David Rawlinson.
Emerging Vehicle Technology Trials Online Repository
Austroads Project Pipeline 2021-22
Strategy for an Improved Mechanistic-empirical Flexible Pavement Treatment Design
Next Generation Asset Data Collection: Road Pavement Performance
Development and Justification of Asset Preservation and Renewal: Investment Decision Making
Development and Justification of Asset Preservation and Renewal: Framework and Tools
Design and Construction Guidelines for the Delivery of Large Cantilever and Gantry Structures
Development and Justification of Asset Preservation and Renewal: Report Overview
Options for Managing the Impacts of Aged Heavy Vehicles
An Overview of the New Guide to Road Design Parts 1 and 7
Paving our ways
Austroads Technical Specifications for Roadworks and Bridgeworks
Network Operation Planning: Case Studies and Capability Building
Revision of Austroads Guide to Road Tunnels Part 2: Planning, Design and Commissioning
Engineering Guideline to Bridge Asset Management
Improved Traffic Management Guidance: On-Road Public Transport Priority Tool
Improved Traffic Management Guidance: Freeway Capacity Analysis
Effectiveness and Implementation of Raised Safety Platforms
Pedestrian Planning and Design for Residential Areas
Innovation and Best Practice in Performance Measurement and Transport Outcomes
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