Publications

Safe, efficient and sustainable road transport relies on the accurate classification and identification of vehicles operating on our road networks. Accurate vehicle surveys support the planning and management of road assets and the regulation of…

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…

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…

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.…

This report documents a project addressing a recognised lack of traffic management knowledge and skills in young practitioners through the development of a series of online learning modules in traffic management. This report brings together the…

This report documents the extensive reviews and evaluations of established and emerging methodologies in Freeway Capacity Analysis. It also documents the extensive consultations with Australian and New Zealand practitioners to capture their current…

This report summarises activities undertaken to update guidance on interrupted traffic flow theory contained within Austroads Guide to Traffic Management Part 2 and Part 3. The updates to the guidance will enable practitioners to improve their…

An appraisal and evaluation framework has been developed which provides a nationally consistent approach to appraisal and evaluation of TDM measures. This framework will provide a basis for more informed choices between non-infrastructure and…

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…

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).…