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.
Standards Australia: Bitumen and Related Materials for Roads
Vehicles and Technology: Future State 2030
Procurement Decision Tool: A Case Study of the Toowoomba Second Range Crossing
Tactical Urbanism: Streets for People
Transport Modelling for Project Managers
Introduction to the Life Cycle Costing Framework and its Application to Sealed Roads
Introduction to the Life-Cycle Costing Framework and its Application to Unsealed Roads
Introduction to the Life-Cycle Costing Framework and its Application to Unsealed Roads
Decarbonisation of Road Transport Network Operations in Australia and New Zealand
Measuring Pedestrians: Survey and Audit Methods
Introduction to the Materials Assessment Framework and its Application in Resource Assessment
Pedestrian Planning Concepts
Charting Changes in Austroads' Guide to Traffic Management
Education and Training for Drivers of Assisted and Automated Vehicles
Bridge Assessment Beyond the AS5100 Deterministic Methodology
Investigation and Development of Bridge Formulae for Inclusion in the Performance-based Standards
Sustainable Roads Through Fit-for-purpose Use of Available Materials
An Australian Drink Driving Policy and Regulatory Framework
Assessment of Key Road Operator Actions to Support Electric Vehicles
Integrating Safe System with Movement and Place with for Vulnerable Road Users
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