AI Driven Road Asset Management
and Road Safety Analysis

The Challenge

Traditionally, road asset management has required road surveyors driving thousands of kilometres of road and recording videos and visually assessing road side features. For both road asset maintenance and road safety risk analysis, these processes are time consuming and, costly, with the outputs being subject to a large degree of human error. Main Roads Western Australia is a leader in the public sector and an organisation passionate about the health and safety of people in their community. Main Roads Western Australia engaged Anditi to design and develop a more automated, accurate and cost-effective solution for road assessment, to work towards their target of assessing the safety rating of the 80% most travelled roads. The project involved analysing 2000kms of urban and rural roads using Mobile LiDAR and 360 Degree Imagery to produce the following products:

  • Road survey date & location
  • Median type and width e.g. physical raised median, painted median etc
  • Roadside severity
  • Centreline rumble strips
  • Intersection type
  • Street lighting
  • Property access points
  • AusRap/iRAP Coding

The Solution

Anditi set out to design, develop and test a system that would allow Main Roads to update roadside risk ratings and extract asset management data more effectively and more frequently than is currently possible. To attain the required information for AusRAP risk ratings and desired asset management data, Anditi developed a semi-automated routine to identify and extract a number of features. The data was then delivered via Anditi’s 3D Web Portal for visual quality checking, with GIS layers made available via the cloud for integration with Main Roads’ existing local GIS system. Additionally, Anditi produced results in an AusRap/iRAP compatible format.

The Outcome

With the method for scalable and efficient road assessment that Anditi developed, Main Roads was able to:

  • Progress towards their target of assessing 80% of roads most travelled
  • Eliminate the WHS risk by using remote sensed data
  • Visually inspect and assess their road data via a 3D Web Based Portal
  • Host, manage and access their spatial data assets for evaluating maintenance requirements and compliance checks on an on-going basis.

Cost Reduction

Project completed for a 50% reduction in costs compared to traditional method

2000kms of Road Surveyed

Consistently applied method that improves rate of identification

Developed new, consistent approach for AusRap Coding

Repeatable, scalable method that can be applied across all of WA.