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Georgia Pavement Management System Development

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

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Georgia Pavement Management System Development

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  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

  2. 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

  3. 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.

  6. Field Data Acquisition Field data acquisition is performed through COPACES module in GPAM.

  7. Functions for Management - Rating Distribution By Districts

  8. Functions for Operation - Visualization and Identification of Project-level Pavement Information

  9. 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

  10. Historical Project Rating Distribution

  11. 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

  12. 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

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