Using GIS to Support Multi-year Pavement MR&R Need Analysis Yichang(James) Tsai, Ph.D., P.E. Bo Gao, Ph.D. Candidate Georgia Institute of Technology Bryant Poole, P.E. JT Rabun, P.E. Georgia Department of Transportation March 30, 2004
Outline Background Project objective Why GIS System component and information flow Analytical Functionality Conclusions & Future Research Demo
Background 18, 000 mile centerline highway. 7 working districts/13 cong. districts. Surveyed annually with about 60 engineers. 10 different types of distresses surveyed (i.g. load cracking) Project rating is between 0 and 100. Approximately 18,000 mile-segments in 2,000 projects surveyed annually. More than 18 years of survey data (1986 2003) Survey data used to determine suitable treatment strategies. Total miles of projects treated are subject to budget availability.
Pavement Management Components Data Acquisition Data Management Decision Support Knowledge Discovery
Georgia Pavement Management (GPAM) Decision Support & Knowledge Discovery Multi-year Need Analysis
Project Objective Conduct what-if analysis as to when, where, what to treat, and their impacts on future pavement performance and cost in project and network levels. Integration between Need Analysis Modeling with GIS. Data integration with other data sources such AADT, etc.. Easy to use/communicate through GIS user interface. Validate and calibrate forecasted results such as project ratings, costs, etc.
GIS for Data Integration and Analysis Bridge Planning Design Construction Operation Performance measure Maintenance/Rehab Re-construction Other Data INTEGRATION AADT; % truck; Accidents, etc. Click a route on the GIS map to visualize all the associated information. Highway Pavement Planning Design Construction Operation Performance measure Maintenance/Rehab Re-construction INTEGRATION Common Location Reference System (LRS)
System Components PROJECT LEVEL ANALYSIS MODULE Treatment Method and Cost Determination. Pavement Performance Forecasting. Life Cycle Cost Effectiveness Analysis. NETWORK LEVEL ANALYSIS MODULE Determine minimal funding needed to meet prescribed future pavement performance. Determine optimum pavement treatment plans under funding availability constraints. Determine optimum pavement treatment plans subject to both pavement performance and budget availability constraints.
System Components (cont.) GIS MODULE Link GIS with various data sources such as traffic, bridges etc. Display analytical results on the map including the projects to be treated at different years with treatment methods and costs. Interactively change project treatment method on the map to see its impact on performance and cost in the project and network levels. Display the performance on the GIS map based on different jurisdictions such as GDOT District, Congressional District, county, etc.
Central Oracle Database Historical Pavement Condition Data Historical Maintenance Activity Data MR&R Methods and Costs Data Historical Traffic Data Network Analysis Results Summarize network level results GIS Visualization / Adjustment Output Results Final selection of individual projects with MR&R method and cost Feedback i = i+1 Network Level Analysis Y N Download latest pavement projects survey data Set inputs: 1. Network analysis problem type 2. Budget Constraints and/or Performance Constraints 3. Analysis period: n years 4. Select pavement performance model 5. Select pavement distresses forecasting model Satisfy balance constraints and/or performance and cost requirements? Start multi year analysis, set i=0 N i <= n Y Project Level Analysis Determine future project rating and distress deduct values Determine MR&R Methods and Costs for all projects Detailed System Information Flow End Calculate network composite rating Select a project, starting from highest cost effectiveness ratio Based on treatment methods, determine all projects performance after treatment Determine all projects life cycle cost effectiveness ratios
Example of Multi-year Pavement Need Analysis - Performances and Costs Network-level
Example of Forecasted No. of Projects to be Treated and Cost Network-level
Network-level Pavement Condition
Selected Project, Treatment, and Cost 2 3 4 1.a 1.b
154 Historical Pavement Performance Analysis 400 378 864 13 141 9 4070 907 10 410 236 10 237 3 857 42 10 858 Fulton Dekalb 260 154 883 12 4071 4013 14 54 4030 413 331 4013 Project-level 407 020
Impact Impact Impact on Network-Level on on Project-Level Network-Level Composite Load - Rating Cost Cracking Rating Dynamic Analysis Using GIS
Conclusions Link network-level performance/cost with project level plans. Perform what-if analysis in the network-level based on different treatment scenarios and balancing constraints. Dynamically change the project-level treatment method on the map to see its impact on project and network levels. Display project-level and network-level results on a GIS map.
Future Research Validate and calibrate models using historical data including rating, treatment method, and cost. Incorporate and test other performance models. Incorporate optimization solution.
Contact Info James Tsai, Ph.D., P.E. Email: James.Tsai@ce.gatech.edu TEL:(404)385-0904
Thanks!