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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.…
Improved Bridge Deterioration Models, Predictive Tools and Costs
The management of Australia and New Zealand’s bridge stock involves the development of forward works programs for periods up to, and longer than, ten years into the future. The scheduling of maintenance, rehabilitation and replacement, forms part of…
Development of Marginal Costs for Heavy Vehicle Bridge Usage
This report develops approaches that estimate the marginal cost (MC) of bridge wear for heavy vehicle usage and estimates the availability and reliability of the data needed to use these approaches. Two approaches were examined. The first was an…
Improved Distress Viscosity Model for Reseal Intervention
An existing model predicted binder life by combining a binder hardening (increase in viscosity) model and a distress viscosity model. Inputs for the two models were site temperature parameters, binder durability (resistance to hardening) and seal…
Development of an Aggregate Size Term for a Reseal Intervention Model
An existing model predicted maximum seal life by combining a binder hardening (increase in viscosity) model and a distress viscosity model. Inputs for the two models were site temperature parameters and binder durability (resistance to hardening).…