An Asset-Management Framework for the Interstate Highway System (2009) / Chapter Skim
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Pages 23-35
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From page 23... ...
Analytical tools are used to store and track data, and use the available data to support predictions of future conditions, analysis of investment need, and other applications. This section addresses the data and tools required to implement the Interstate Asset Management Framework.
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24 Geography and Standard Location Referencing Inventory Inspection Traffic Crash Statistics Work History Programmed Work Business Rules • Performance Measures and Standards • Deficiency Criteria • Design Standards • Maintenance Standards • Standard Procedures • Program Categories • Funding Levels Decision Support • Needs and Solutions • Evaluation of Options • Investment vs. Performance Trade-offs Life-Cycle Costing Benefit/Cost Analysis Needs Simulation GIS Query and Analysis Tools Risk Analysis Database Query and Reporting Tools Sketch-Planning Impact Analysis Tools Network Models Specialized Databases Optimization Heuristic Decision Rules Analytical Tools Core Asset Data Analysis Parameters • Unit Costs • Service Life and Deterioration Models • Discount Rate • Value of Time • Accident Costs • Default Average Speeds • Default Auto Occupancy Source: NCHRP Report 545.
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The Pontis database contains additional data on the distribution of conditions by condition state for each structural element of the superstructure, including elements such as girders, stringers, floor beams, etc. AASHTO has developed standard element descriptions and condition state language, referred to as "Commonly Recognized (CoRe)
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. Established in 1975, FARS contains data describing all fatal accidents occurring on public roads in the United States.
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The review described in Appendix A yielded a large number of examples of analytical tools for supporting asset management. The existing tools have been organized by the system types described already: investment analysis systems; management systems; needs and project evaluation; risk assessment; and results monitoring.
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The system uses a modeling approach originally adapted from the Pontis BMS to predict bridge preservation and functional improvement investment needs. FHWA has performed work on NBIAS to modify its models to predict benefits in as similar as possible a manner to HERS, and to populate the system with default data, including default user cost models, agency cost adjustment factors for each state, and bridge deterioration models for each HPMS climate zone.
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In addition to these systems, many agencies have developed their own systems for storing bridge inventory and inspection data and/or modeling bridge conditions. Agencies such as Alabama DOT and New York State DOT developed BMS prior to the release of Pontis and continue to use their agency-specific systems.
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Needs and Project Evaluation Many of the analytical tools developed for asset management fall into this category. Typically these tools are used to analyze a user-defined scenario or project, calculating costs, performance measures, or other parameters used to support the decision-making process.
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This tool has been implemented for transportation agencies in the United Kingdom. The MOOS bridge level model described earlier is intended as a project analysis tool, in that it considers a range of different projects and is not limited to risk mitigation.
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Tool System Type Available From Notes AssetManager NT Investment analysis AASHTO Integrates investment analysis results from multiple sources AssetManager PT Needs and Project Evaluation AASHTO Prioritizes projects based on user-specified measures BCA.Net Needs and Project Evaluation FHWA Performs benefit/cost analysis for highway improvements BLCCA Needs and Project Evaluation NCHRP Bridge preservation life cycle cost analysis DIETT Risk Assessment NCHRP Prioritizes risks to transportation choke points HDM-4 Investment Analysis McTrans, Presses de l'ENPC (Paris) Simulates highway investment needs, condition and performance HERS-ST Investment Analysis FHWA Simulates highway investment needs, condition and performance IDAS Needs and Project Evaluation McTrans and PCTrans Evaluates network impact of ITS improvements MOOS Bridge Level Model Needs and Project Evaluation NCHRP Assist in developing bridge-level strategies using data from Pontis.
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IHS owners should collect inventory and condition data for all assets listed in Table 2.1, including safety features, facilities, and shoulders, sufficient for estimating the asset extent and the percent of the extent functioning as intended. A maintenance management system, which supports a maintenance quality-assurance approach for assessing current conditions and setting performance and budget targets by asset category, provides support for IHS asset management.
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For major capacity expansion projects, ITS investments, or other candidate projects expected to have significant network effects, network models such as IDAS or STEAM should be used for candidate evaluation. Where analytical tools that explicitly account for uncertainty in project costs, outcomes and other parameters are unavailable, sensitivity analysis should be used to test the analysis results for variation in key modeling assumptions.
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AssetManager NT can be used to integrate analysis results for multiple asset and investment types, but can work with data from no more than four sources at a time. AssetManager PT is a valuable tool for project prioritization, but is implemented as a spreadsheet prototype and not integrated with AssetManager NT.
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