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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
Components of A Conceptual IT-based
Framework
DATA MANAGEMENT
DECISION SUPPORT
EXTERNAL DATABASES
KBS
Historical Traffic Data
DATA ACQUISITION
OPERATIONS
Construction,
Rehabilitation and
Maintenance Cost Data
Pavement Condition
Evaluation
DATABASES
Historical Pavement
Condition Data
Pavement Profile
Coring
Historical Pavement
Profile Data
Daily Maintenance
Activity Planning and
Scheduling
Historical Daily
Maintenance Activity
Data
Pavement Design and As
Built Material Property
Data
Network
Analysis
GIS visualization,
spatial analysis and
mapping.
Economic
Analysis
Need
Analysis
Treatment
Determination
Deterioration
Models
Pavement
Performance
Forecasting
Multiple-year
prioritization and
optimization
KNOWLEDGE
DISCOVERY
Pavement Performance Forecasting,
Optimization, and Simulation
INPUT
Historical traffic
condition
Historical Pavement
distress condition
Where, when,
what to treat
Given funding
Pavement Performance
Forecasting,
optimization, and
Simulation models
Forecasting time frame
(5 or 10 year later)
Treatment Determination
Deterioration models
Optimization models
Simulation models
GIS mapping, visualization
and spatial analysis
OUTPUT
1. Avg. statewide composite
future performance index
2. Funding balance among
congressional districts
3. Workload balance among
working districts
4. Future pavement performance
visualization and spatial analysis
Georgia Pavement Management
(GPAM)
Additional modules
PMM Practices in GDOT
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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.
Field Data Acquisition
Field data acquisition is performed through COPACES
module in GPAM.
Functions for Management - Rating Distribution
By Districts
Functions for Operation - Visualization and
Identification of
Project-level Pavement Information
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
Historical Project Rating Distribution
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
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
9.10
15.57
10.39
13.47
10.69
7.87
16.09
32.44
3.93
5.49
2.01
6.51
8.90
11.20
14.99
10.76
9.54
11.04