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Tennessee’s Asset Management Approach for Pavements

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Tennessee’s Asset Management Approach for Pavements. Donald Reid DESIGN DIVISION As revised 03-08-01. GASB 34 Requirements. Inventory of Pavement Assets Condition Assessments Management Strategies. Inventory of Pavement Assets. Interstate System in Tennessee 1073 miles

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Presentation Transcript
slide1

Tennessee’s

Asset Management

Approach for Pavements

Donald Reid

DESIGN DIVISION

As revised 03-08-01

gasb 34 requirements
GASB 34 Requirements
  • Inventory of Pavement Assets
  • Condition Assessments
  • Management Strategies
inventory of pavement assets
Inventory of Pavement Assets

Interstate System in Tennessee

  • 1073 miles

State Route System (non interstate routes)

  • Region 1: 2437 miles 154 miles divided
  • Region 2: 2376 miles 83 miles divided
  • Region 3: 3185 miles 118 miles divided
  • Region 4: 2687 miles 106 miles divided

Continuous Inventory Updates with TRIMS

Transportation Roadway Information Management System

condition assessments
Condition Assessments

Data Collection:

    • Infrastructure Management Services (IMS)
  • Data Collected:
    • Roughness, Rutting, Distress
  • Frequency:
    • Collect Condition Data on Interstate Every Year
    • Collect Condition Data on NHS Every Year
    • Collect Condition Data on STP 1 Region Per Year
  • Pavement Condition Rating:
    • PSI-Pavement Roughness Index
    • PDI-Pavement Distress Index
    • PQI-Pavement Quality Index
management strategies
Management Strategies

Goals and Objectives

  • Interstate System
    • 90 % of all interstate highways will be in good or very good condition
    • No more than 10 % of all interstate highways will be in a poor or very poor condition
    • The current goal is an 8 year resurfacing cycle
  • State Route System
    • 85 % of all state routes will be in good or very good condition
    • No more than 15 % of all state routes will be in a poor or very poor condition
    • The current goal is a 12 year resurfacing cycle
what s next
What’s Next?
  • Performance prediction models
  • Structural design optimization
  • Pavement decision tree validation
  • Future pavement needs prediction models
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