01365550

Component

https://doi.org/10.3141/2304-12

http://scholar.google.com...eong&publication_year=2012

Advancements in data collection, digital data storage, and database management technologies have dramatically increased the capabilities of state highway agencies to generate and to store highway project data. The Oklahoma Department of Transportation (DOT), along with other state DOTs, stores a large amount of highway project data throughout the life cycle of highway projects. Although much of the budget is allocated to collecting and maintaining pavement data sets, the amount of benefit from extracting information and knowledge from the data is limited. This study applies association analysis in data mining to the historical treatment data set available in the Oklahoma DOT to identify the typical sequential patterns of treatment activities. Then, a realistic life-cycle cost analysis (LCCA) model based on typical sequential patterns of pavement treatment activities is developed and compared with the traditional LCCA performed by RealCost through an example. The case study indicates that the results of the realistic LCCA can be significantly different from those of the traditional approach. Because life-cycle cost models developed in this study are based on the actual treatment strategies performed by the Oklahoma DOT, it is expected that the life-cycle cost is closer to actual costs than the traditional approach. Using the realistic LCCA model developed in this study, state DOTs will be able to develop more realistic pavement maintenance and rehabilitation strategies and budgets.

01471223

12-3390

English

pp 104–111

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263030

Print

Figures; References; Tables

Case studies; Data mining; Databases; Life cycle costing; Pavement maintenance; Pavement management systems; Programming (Planning); Rehabilitation; State departments of transportation; Strategic planning

Oklahoma

Data and Information Technology; Highways; Maintenance and Preservation; Pavements; Planning and Forecasting; I10: Economics and Administration; I61: Equipment and Maintenance Methods

PRP, TRIS, TRB, ATRI

Feb 8 2012 5:16PM

• Accounting for Material-Specific Inflation Rates in Life-Cycle Cost Analysis for Pavement Type Selection
• Application of Texture Analysis and Kohonen Map for Region Segmentation of Pavement Images for Crack Detection
• Approximation Approach to Problem of Large-Scale Pavement Maintenance and Rehabilitation
• Cracking and Rutting Performance of Composite Pavements Under Testing with Heavy Vehicle Simulator: Rubberized Hot-Mix Asphalt with Gap-Graded Aggregates over Portland Cement Concrete
• Developing Pavement Performance Models for Delaware
• Evaluation of Asphalt Damage and Cracking Development with Seismic Pavement Analyzer
• Evaluation of Traffic-Speed Deflectometers
• Evolution of Asphalt Mixture Stiffness Under Combined Effects of Damage, Aging, and Densification Under Traffic
• Field Application of Ground-Penetrating Radar for Measurement of Asphalt Mixture Density: Case Study of Illinois Route 72 Overlay
• Impact of Wide-Base Tires on Pavements: Results from Instrumentation Measurements and Modeling Analysis
• Implementation of Network-Level Falling Weight Deflectometer Survey
• Impulse Response Dynamic Stiffness Decay in Aging General Aviation Airfield Pavements
• Model to Estimate Pavement Structural Number at Network Level with Rolling Wheel Deflectometer Data
• Modeling Pavement Conditions of Multilane Roads with Measured Driving Lane Data
• Probe Vehicles Used to Measure Road Ride Quality: Pilot Demonstration
• Procedure for Optimum Pavement Deflection Test Spacings for Network-Level Applications
• Relating Ride Quality and Structural Adequacy for Pavement Rehabilitation and Management Decisions
• Rutting of Rubberized Gap-Graded and Polymer-Modified Dense-Graded Asphalt Overlays in Composite Pavements
• Sustainability of Perpetual Pavement Designs: Canadian Perspective
• Use of Falling Weight Deflectometer Data for Network-Level Flexible Pavement Management
• Wavelet-Based Detection of Roughness Progression in Wavebands for Highways in Victoria, Australia