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Cover of Standardisation of ITS Technology Asset Management Datasets
Standardisation of ITS Technology Asset Management Datasets
  • Publication no: AP-R608-19
  • ISBN: 978-1-925854-74-9
  • Published: 31 October 2019

This report documents the first version of harmonised ITS asset performance and condition data specifications, which was developed via practice review, stakeholder consultation and case studies. The data specifications cover 155 ITS asset data items including 56 inventory, 20 condition and 39 performance items and 40 key performance indicators (KPIs). The specifications also categorise the asset data requirements into core, desired and optional requirements, which allow a level of harmonisation, comparison and benchmarking across jurisdictions.

A business case with different implementation options was also developed to support the adoption of the data specifications by jurisdictions. Benefits of implementing the data specifications were identified and reported. It shows that investment in the data specifications has the potential to achieve a quite high impact, and the higher the level of investment the higher the potential levels of returns in terms of net present value.

  • Summary
  • 1.      Introduction
    • 1.1    Background
    • 1.2    Purpose
    • 1.3    Structure
  • 2.      Delivery Methodology
    • 2.1    Overarching Method of Data Specification Development
    • 2.2    Project Delivery Process
  • 3.      ITS Asset Criticality Assessment
    • 3.1    Principles
    • 3.2    Process
      • 3.2.1      Step 1: Identification of Criticality Aspects
      • 3.2.2      Step 2: Identification of Classifications within Each Criticality Aspect
      • 3.2.3      Step 3: Scoring of All Classes Within Each Criticality Aspect
      • 3.2.4      Step 4: Defining the Calculation Method for Criticality Scores
      • 3.2.5      A Worked Example
    • 3.3    Other Examples
  • 4.      ITS Asset Performance Evaluation and Failure Impact Assessment
    • 4.1    ITS Performance Evaluation
    • 4.2    ITS Asset Failure Impacts
      • 4.2.1      Methodology and Objectives
      • 4.2.2      Recent Research on ITS System Benefits
      • 4.2.3      Failure Impacts of Traffic Signals
      • 4.2.4      Failure Impacts of other ITS Assets
    • 4.3    Harmonised KPIs to Support the Performance Evaluation
  • 5.      Proposed ITS Asset Data Specifications
    • 5.1    Defining ITS Asset Data
      • 5.1.1      ITS Asset Hierarchy
      • 5.1.2      Harmonising Asset Data Definitions and Terminology
      • 5.1.3      ITS Data Groups
      • 5.1.4      ITS Data – Levels of Priority
    • 5.2    Proposed ITS Asset Data Specifications
  • 6.      Case Studies and Core KPI Reporting
    • 6.1    Data Collection and Core Data Availability
    • 6.2    Core KPI Analysis Methodology
      • 6.2.1      Asset Class and Data Sources
      • 6.2.2      Major Alarms and Faults Modes
      • 6.2.3      KPI Formula and Unit of Reporting
    • 6.3    Examples of Core KPI Reporting
      • 6.3.1      Traffic Signals
      • 6.3.2      Electronic Speed Limit Signs (ESLS)
      • 6.3.3      Variable Speed Limit Signs (VSLS)
      • 6.3.4      Variable Message Sign (VMS)
      • 6.3.5      Vehicle Detection Station (VDS)
      • 6.3.6      Lane Use Management System (LUMS)
    • 6.4    Summary of Case Studies
  • 7.      Discussion on Future Harmonisation of Fault Data and KPIs
    • 7.1    Fault Modes
    • 7.2    Asset Physical Condition Assessment Methodology
  • 8.      Benefit-cost Analysis (BCA) for the Implementation of the Data Specifications
    • 8.1    Objectives of the ITS Data Specifications
    • 8.2    Possible Options for Implementation
      • 8.2.1      Option 1: Procurement of an OTS Enterprise System
      • 8.2.2      Option 2: Upgrading of Existing Maintenance Systems
      • 8.2.3      Option 3: Additional Process
    • 8.3    Benefit and Cost Estimation for a Hypothetical Agency
      • 8.3.1      Base Case and Assumptions
      • 8.3.2      Cost and Benefit Summary for Different Options
    • 8.4    Illustration of BCA Model Results and Sensitivity Analysis
      • 8.4.1      BCA Model Results
      • 8.4.2      Sensitivity Test of Maintenance Budget Saving Levels
      • 8.4.3      Scenario Without Signal Performance Data
    • 8.5    Summary of BCA findings
  • 9.      Conclusions and Recommendations
  • References
  • Appendix A          Example of ITS Asset Type Aspect Classification Score from NZTA
  • Appendix B          Failure Impact Review
  • Appendix C          Metadata Elements for Data Specifications
  • Appendix D          Data Specifications – Inventory
  • Appendix E          Data Specifications – Condition
  • Appendix F           Data Specifications – Performance
  • Appendix G          Data Specifications – KPIs
  • Appendix H          ITS Asset Data Collected for Case Studies
  • Appendix I            Jurisdictional Asset Condition Assessment Methodology
  • Appendix L           Examples of BMP and ILM
  • Glossary
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