Georgia Pavement Management System Development

1
Georgia Pavement Management System Development

• 1997 1998
• A quality-based on-site pavement condition
  evaluation system
• A KBS for diagnosing the causes of pavement
  distresses
• 1998 2000
• An Oracle client/server GIS-based pavement
  information management and analysis system
• Pavement treatment criteria
• Deterioration models
• 2000 2002
• Pavement performance prediction
• Pavement performance optimization
• Pavement section characteristics and pavement
  treatment history
• 2000 2004
• Need Analysis for Pavements Simulation and
  Optimization
• Concrete Pavement Management

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Components of A Conceptual IT-based Framework
DATA MANAGEMENT
DECISION SUPPORT
EXTERNAL DATABASES
KNOWLEDGE DISCOVERY
KBS
Historical Traffic Data
Economic Analysis
Construction, Rehabilitation and Maintenance Cost
Data
Need Analysis
DATA ACQUISITION OPERATIONS
DATABASES
Pavement Condition Evaluation
Treatment Determination
Historical Pavement Condition Data
Historical Pavement Profile Data
Pavement Profile Coring
Deterioration Models
Historical Daily Maintenance Activity Data
Daily Maintenance Activity Planning and Scheduling
Pavement Design and As Built Material Property
Data
Pavement Performance Forecasting
Multiple-year prioritization and optimization
GIS visualization, spatial analysis and mapping.
Network Analysis
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Pavement Performance Forecasting, Optimization,
and Simulation
INPUT
Where, when, what to treat
OUTPUT
Historical traffic condition
1. Avg. statewide composite future performance
index
Historical Pavement distress condition
2. Funding balance among congressional districts
Pavement Performance Forecasting, optimization,
and Simulation models
3. Workload balance among working districts
Given funding
Forecasting time frame (5 or 10 year later)
4. Future pavement performance visualization and
spatial analysis
Treatment Determination
Deterioration models
Optimization models
Simulation models
GIS mapping, visualization and spatial analysis
4
Georgia Pavement Management (GPAM)
Additional modules
5
PMM Practices in GDOT

• 18, 000 mile centerline highway.
• 7 working districts.
• Pavement surveyed annually with about 60
  engineers.
• 10 different types of distresses surveyed (i.g.
  load cracking)
• Project rating is between 0 and 100.
• More than 15 years of survey data (1986 2001)
• Survey data used to determine suitable
  maintenance and rehabilitation strategies.
• Total miles of projects treated are subject to
  budget availability.
• 13 Congressional districts in Georgia and the
  budget for each district should be balanced.

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Field Data Acquisition
Field data acquisition is performed through
COPACES module in GPAM.
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Functions for Management - Rating Distribution By
Districts
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Functions for Operation - Visualization and
Identification of Project-level Pavement
Information
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Spatial Analysis for Visualizing and Quantifying
Pavement Information for Different Jurisdictions
Total Miles for Projects with Rating Values Less
Than and Equal to 80 in Each Congressional
District
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Historical Project Rating Distribution
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Simulate and Visualize the Future Pavement
Performance for A Given Decision
Projected funding balance among GDOT working
district and congressional district
Funding type distribution and funding
availability
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Simulate and Visualize the Future Pavement
Performance for A Given Decision (cont.)
Projected future pavement performance
Projects to be treated in each GDOT working
district
Projects to be treated in each congressional
district