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Asset Management

Cover of Data to Support the Heavy Vehicle Road Reform
Data to Support the Heavy Vehicle Road Reform
  • Publication no: AP-R656-21
  • Published: 19 August 2021

This is the final report for a three-year project which has investigated a number of different aspects of the requirements, gaps, and opportunities for supplying infrastructure data suitable for supporting a future heavy vehicle cost recovery and investment process. It has continued the work of the previous project (AT1920) and represents a total of seven years of work from 2013 to 2020.

The eight parts of the report can be downloaded in one PDF from the link above or as individual documents as follows:

Part A: Project Summary provides an overview of the Heavy Vehicle Road Reform, the role of the project in the Reform, a summary of each Part (B to H) of the project, and the overall conclusions drawn from the project.

Part B: Heavy Vehicle Infrastructure Rating describes the development of the Heavy Vehicle Infrastructure Rating (HVIR) Framework as a potential measure of how fit-for-service a road is for heavy vehicles. This Part also describes the development, features and processes of the HVIR Tool intended to allow road managers to assemble data and generate HVIR results in a consistent way.

Part C: National Road Asset Register describes the development of standards, tools, and processes for building a nationally consistent database at 100 m intervals containing infrastructure-related information including reference, inventory, operational and condition data. In addition, an investigation was conducted into the requirements for an open data environment through development of open-source code for populating the National Road Asset Register and revising the data specification for the Asset Register to expand its application beyond Australian road agencies.

Part D: Infrastructure Base Map and Data Alignment Guidance presents a discussion of the merits of various mapping platforms, and guidance on how various data elements can be aligned to the base map in a nationally consistent way.

Part E: Traffic Data Analysis reports on an investigation of traffic data, documenting how traffic data is collected, processed, and presented to illuminate the causes of inconsistencies between this data from Australian road agencies.

Part F: Alignment of Expenditure Reporting Data provides the results of a study of the extent and causes of inconsistencies in forecast and actual expenditure data submitted by Australian road agencies to the National Transport Commission (NTC) for the Forward-Looking Cost Base (FLCB) model.

Part G: Stocktake of Pavement Deterioration Modelling is based on a survey of pavement deterioration modelling teams within Australian road agencies to list the models, data, and processes used in the modelling of pavements.

Part H: Investigation of Maintenance Data Records reports on a survey of the nature and extent of record-keeping related to routine and periodic maintenance within Australian road agencies.

Watch a webinar with one of the authors Ulysses Ai for a summary of the project’s main activities and key learnings.

  • Part A: Project Summary
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Part B – Heavy Vehicle Infrastructure Rating
      • 2.1 Inception
      • 2.2 Summary
      • 2.3 Outcomes
    • 3. Part C – National Road Asset Register
      • 3.1 Inception
      • 3.2 Summary
      • 3.3 Outcomes
    • 4. Part D – Base Map and Data Alignment
      • 4.1 Inception
      • 4.2 Summary
      • 4.3 Outcomes
    • 5. Part E – Traffic Data Analysis
      • 5.1 Inception
      • 5.2 Summary
      • 5.3 Outcomes
    • 6. Part F – Alignment of Expenditure Reporting Data
      • 6.1 Inception
      • 6.2 Summary
      • 6.3 Outcomes
    • 7. Part G – Stocktake of Pavement Deterioration Modelling
      • 7.1 Inception
      • 7.2 Summary
      • 7.3 Outcomes
    • 8. Part H – Investigation of Maintenance Data Records
      • 8.1 Inception
      • 8.2 Summary
      • 8.3 Outcomes
    • 9. Key Project Findings
    • References
  • Part B: Heavy Vehicle Infrastructure Rating
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Summary of Preceding Project AT1920
      • 2.1 Overview of AT1920
      • 2.2 National Classification of Roads
      • 2.3 Initial Development of the HVIR
      • 2.4 Transition to the Extended Project
    • 3. First Update to HVIR Calculation Methods
    • 4. HVIR Framework Technical Review
      • 4.1 Purpose of the Technical Review
      • 4.2 Technical Review Responses
      • 4.3 Implementation of Updates to the HVIR Framework
      • 4.4 Alternative Representation of HVIR
    • 5. HVIR Calculation Tool and Open Source Code
      • 5.1 Purpose of the HVIR Tool
      • 5.2 HVIR Tool Feature Updates
      • 5.3 Development of HVIR Open Code
    • 6. Conclusion
    • References
    • Appendix A First Round Updates to HVIR
      • A.1 Updates to the Calculation of Access
      • A.2 Updates to the Calculation of Ride Quality
      • A.3 Updates to the Calculation of Safety/Leeway
    • Appendix B Technical Review Updates to HVIR
      • B.1 Development of the Detailed HVIR Framework Updates
      • B.2 Impact of Updates to the HVIR Framework
    • Appendix C HVIR Tool Development History
    • Appendix D HVIR Calculation Methods
      • D.1 HVIR Calculation Framework
      • D.2 Calculation Methods for Access
      • D.3 Calculation Methods for Ride Quality
      • D.4 Calculation Methods for Leeway
    • Appendix E Data Required for HVIR
  • Part C: National Road Asset Register
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Summary of Project AT1920
      • 2.1 Overview of Project AT1920
      • 2.2 Developing a National Freight Route Asset Register
      • 2.3 Transition to Extended Project
    • 3. Improving Data Supply for the Asset Register
      • 3.1 Online State and Territory Data Updates
      • 3.2 Engagement with Local Government
    • 4. Data Standard Implementation in the Asset Register
    • 4.1 Introduction
      • 4.2 Overview of the Revised Priority Harmonised Subsets (PHS)
      • 4.3 Asset Register Alignment with the Data Standard
      • 4.4 Summary of Aligning the Asset Register and Data Standard
    • 5. Open and Commercial Data Source Analysis
      • 5.1 Introduction
      • 5.2 Analysis by Jurisdiction/Sector
      • 5.3 Analysis by Data Group
      • 5.4 Summary of Findings
    • 6. Supporting an Open Data Environment
      • 6.1 Introduction
      • 6.2 Quality Assessment of Existing Datasets
    • 7. Update to Asset Register Data Specification
      • 7.1 Introduction
      • 7.2 Review of Data Availability and Accessibility
      • 7.3 Sourcing Location and Reference Data from the Base Map
      • 7.4 Revised Data Items
    • 8. Conclusion
    • References
    • Appendix A Data Standard Compliant Asset Register Data Specification
    • Appendix B Open State Data Analysis Tables
    • Appendix C Heavy Vehicle Classes
    • Appendix D Updated Asset Register Data Specification
  • Part D: Base Map and Data Alignment
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Analysis of Base Map Options
      • 2.1 Selection of a Base National Road Network
      • 2.2 Overview of Existing Options
      • 2.3 Comparison of Base Map Candidates
      • 2.4 Base Map Key Selection Criteria
    • 3. Guidance for Aligning Data with the Base Map
      • 3.1 Introduction
      • 3.2 The Data Environment
      • 3.3 Data Storage Guidance
      • 3.4 Aligning Data Objects with a Base Map
    • 4. Conclusion
  • Part E: Traffic Data Analysis
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Literature Review
      • 2.1 Factors Influencing Traffic Volume
      • 2.2 Traffic Volume Data Requirements
      • 2.3 Obtaining Raw Data
      • 2.4 Transforming Raw Data
      • 2.5 Reporting Traffic Data
    • 3. Traffic Data Collection Analysis
    • 3.1 New South Wales
      • 3.2 Victoria
      • 3.3 Queensland
      • 3.4 South Australia
      • 3.5 Western Australia
      • 3.6 Tasmania
      • 3.7 National Network Performance Indicators
    • 4. Open/Commercial Traffic Data
      • 4.1 CEOS
      • 4.2 Matrix Traffic and Transport Data
      • 4.3 Trans Traffic Survey
      • 4.4 AusTraffic
    • 5. National Traffic Data Specification
      • 5.1 Requirements for National Consistency
      • 5.2 Data Collection Methods
      • 5.3 Data Processing and Estimation
      • 5.4 Data Reporting
    • 6. Conclusion
    • References
    • Appendix A AADT Segment and Annual Volume Report
      • A.1 AADT Segment Report
      • A.2 Annual Volume Report
    • Appendix B Volume Reports
      • B.1 Information Sheet
      • B.2 Hourly Volume
      • B.3 Quarter Hourly Volume
      • B.4 AADT Volume by Vehicle Type
      • B.5 Daily Volume
      • B.6 Daily Volume by Month
      • B.7 Monthly Volume
      • B.8 Monthly Volume by Year
      • B.9 Daily Vehicle Volume Calendar
      • B.10 Daily Heavy Vehicle Volume Calendar
  • Part F: Alignment of Expenditure Reporting Data
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Previous NTC Survey of Jurisdictions
      • 2.1 Background to Previous Survey
      • 2.2 Findings from Previous Survey
    • 3. Magnitude of Inconsistencies
      • 3.1 FLCB Forecast versus Actual
      • 3.2 FLCB versus PAYGO
    • 4. Cause of Inconsistencies
      • 4.1 ARRB 2020 Survey
      • 4.2 Translation of Expenditure Categories
      • 4.3 Unavoidable Inconsistencies
    • 5. Approaches to Increase Confidence in FLCB
      • 5.1 Introduction to Approaches
      • 5.2 Confidence Signalling
      • 5.3 Alternative Categorisation of Capital Expenditure
      • 5.4 Margin of Variance
    • 6. Conclusion
    • References
  • Part G: Stocktake of Pavement Deterioration Modelling
    • Summary
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. Pavement Deterioration Models
      • 2.1 Approaches to Deterioration Modelling
      • 2.2 Deterministic Models
      • 2.3 Probabilistic Models
    • 3. Australian Road Agency Pavement Deterioration Modelling Practice
      • 3.1 Survey Results Summary
      • 3.2 South Australia
      • 3.3 Victoria
      • 3.4 Tasmania
      • 3.5 Western Australia
      • 3.6 Australian Capital Territory
      • 3.7 New South Wales
      • 3.8 Queensland
    • 4. Use of Big Data and New Methods of Data Collection for Asset Management
      • 4.1 Context of Consultation
      • 4.2 Considerations
      • 4.3 Opinions of Road Agencies (RAs)
    • 5. Conclusions
      • 5.1 Pavement Modelling
      • 5.2 Use of Big Data in Asset Management
    • References
  • Part H: Investigation of Maintenance Data Records
    • Summary
    • Acronyms
    • 1. Introduction
      • 1.1 Background
      • 1.2 Purpose
      • 1.3 Scope
      • 1.4 Methodology
    • 2. National Guidelines for Detailed Attributes of Completed Works
      • 2.1 Austroads Data Standard
      • 2.2 Priority Harmonisation Subset and Austroads Data Standard
      • 2.3 Importance of Harmonised Data for the FLCB Approach
    • 3. Approaches to Heavy Vehicle Cost Recovery and Investment
      • 3.1 National Transport Commission
      • 3.2 PAYGO
      • 3.3 Heavy Vehicle Charging Determination Review
    • 4. Australian Road Agency Maintenance Data Recording and Management Practices
      • 4.1 Main Roads Western Australia
      • 4.2 Queensland Department of Transport and Main Roads
      • 4.3 Department for Infrastructure and Transport, South Australia
      • 4.4 Department of Transport, Victoria
      • 4.5 Department of State Growth
      • 4.6 Summary of Road Agency Maintenance Data Recording and Management Practices
    • 5. Opinions on Heavy Vehicle Cost Recovery and Investment
      • 5.1 Opinions on and Benefits of a Forward-Looking Cost Base Approach
      • 5.2 Attributes of Completed Works and Capacity to Meet Requirements
    • 6. Conclusions
    • References
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