Development of a machine learning based maintenance decision support tool guideline

The purpose of this project is to develop a proof of concept of a decision support system that applies machine learning on the network condition and inventory data to replicate a human expert pavement asset manager.

This project will provide a practical guideline to develop machine learning processes to reduce risk and improve the quality and efficiency in using data by capturing expert pavement asset manager decision making. It will improve capability in transport agencies to draw insights from data, accelerate the rate of learning of less experienced staff and capture corporate knowledge by transforming data into insights.

For more details see https://austroads.com.au/infrastructure/asset-management/machine-learning-for-asset-management

Proposed outputs: Guideline; Webinar

Consultants: WSP Australia Pty Limited

Program: Transport Infrastructure [Assets]

Status: Complete