Interactive Visual Analysis for In-Depth Bridge Management

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Bridges deteriorate over their life cycles and require continuous maintenance to ensure their structural integrity, and in turn, the safety of the public. Maintaining bridges is a multi-faceted operation that requires both domain knowledge and analytics techniques over large data sources. Although most existing bridge management systems (BMS) are very efficient at data storage, they are not as effective at providing analytical capabilities or as flexible at supporting different inspection technologies. In this paper, we present a visual analytics system that extends the capability of current BMSs. Based on a nation-wide survey and our interviews with bridge managers, we designed our system to be customizable so that it can provide interactive exploration, information correlation, and domain-oriented data analysis. When tested by bridge managers of the U.S. Department of Transportation, we validated that our system provides bridge managers with the necessary features for performing in-depth analysis of bridges from a variety of perspectives that are in accordance to their typical workflow.

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Interactive Visual Analysis for In-Depth Bridge Management

  1. 1. An Interactive Visual Analytics System for Bridge Management <ul><li>Xiaoyu (Hsiao-Yu) Wang </li></ul>Charlotte Visualization Center U.S. Department of Transportation Wenwen Dou, Shen-En Chen, Remco Chang, William Ribarsky
  2. 2. Problem Statement <ul><li>Bridge is crucial for transportation safety </li></ul><ul><li>Bridge deteriorates over usage and time </li></ul><ul><li>Bridge inspection requires analysis of multiple factor </li></ul><ul><ul><ul><li>Structural analysis </li></ul></ul></ul><ul><ul><ul><li>Actual traffic usage analysis </li></ul></ul></ul>Overview Future Direction Current Imp. Evaluation
  3. 3. Reports from American Society of Civil Engineers Overview Future Direction Current Imp. Evaluation In 2009, more than 26 percent of the U.S.’s 599,766 bridges are either structurally deficient or functionally obsolete .
  4. 4. Current Practice <ul><li>Inspections and managements are carried out by states and cities </li></ul><ul><li>Using hierarchical reporting structure </li></ul><ul><li>Report information stored in heterogeneous formats </li></ul><ul><li>Decisions rely on bridge managers experiences </li></ul><ul><li>Limited Budget and limited manpower </li></ul>Overview Future Direction Current Imp. Evaluation
  5. 5. Current Practice con'd Overview Future Direction Current Imp. Evaluation PONTIS Bridge Management System BridgeStation
  6. 6. Situation Assessment <ul><li>Collaborative Survey with AASHTO </li></ul><ul><li>35 states responded with 71 answered questionnaires </li></ul><ul><li>29 state bridge unites use PONTIS exclusively </li></ul><ul><li>6 state bridge unites have some modifications or in-house system </li></ul>Overview Future Direction Current Imp. Evaluation
  7. 7. Survey Results <ul><li>BMSs have not provided effective support for bridge managers’ decision-making processes. </li></ul><ul><li>BMSs are rigid in structure and cannot be easily adapted to support individual bridge manager’s task routines </li></ul><ul><li>BMSs have not provided abilities to incorporate local inspection technologies. </li></ul>Overview Future Direction Current Imp. Evaluation
  8. 8. Computer Scientists + Civil Engineers <ul><li>Small Format Aerial Photography (SFAP) </li></ul><ul><li>Pavement Analysis </li></ul><ul><li>LiDAR Scanning (Structural Analysis) </li></ul><ul><li>Motion Analysis </li></ul>Overview Future Direction Current Imp. Evaluation
  9. 9. Integrated Technologies Overview Future Direction Current Imp. Evaluation
  10. 10. Research Question What’s the proper abstraction to help bridge managers to make accurate maintenance decisions ? Overview Future Direction Current Imp. Evaluation
  11. 11. System Overview Overview Future Direction Current Imp. Evaluation <ul><li>Interactive Exploration of Large Scale Bridge data </li></ul><ul><li>Incorporation of multiple heterogeneous data sets </li></ul><ul><li>Customizable based on bridge managers needs </li></ul>Support Decision Making Proc. System Customization <ul><li>Dynamic Geospatial View </li></ul><ul><li>High Dimensional Structure Analysis </li></ul><ul><li>Scalable Temporal View </li></ul><ul><li>Flexible work environment. </li></ul><ul><li>Integrated Local Inspection Technologies </li></ul>
  12. 12. System Overview Overview Future Direction Current Imp. Evaluation Geospatial Analysis Temporal Analysis Structural Analysis
  13. 13. Customization of the System Overview Future Direction Current Imp. Evaluation Statistics Transformer Mapping Manager Data Parser View Manager PCP View Scatter Plot View Treemap View Data Manager Dimension A Dimension B Dimension C
  14. 14. Dynamic Geospatial View Overview Future Direction Current Imp. Evaluation <ul><li>: </li></ul><ul><li>Select Multiple Regions </li></ul><ul><li>Zoom into local details </li></ul><ul><li>Representing additional bridge information e.g. Present Condition etc. </li></ul>
  15. 15. Structural Analysis Overview Future Direction Current Imp. Evaluation <ul><li>Depict bridge internal structures side by side </li></ul><ul><li>Understand correlations among different groups of bridges e.g. sort by type or surface structure. </li></ul>
  16. 16. Structural Analysis Overview Future Direction Current Imp. Evaluation <ul><li>Interactively select bridge components </li></ul><ul><li>Integration of multiple data sources, </li></ul><ul><li>Present temporal and relational information </li></ul>
  17. 17. Temporal Analysis Overview Future Direction Current Imp. Evaluation <ul><li>Suggesting the deterioration trends of groups of bridges, e.g. the surface type or the type of work </li></ul><ul><li>Automatically alert bridge managers about significant changes </li></ul><ul><li>Help to examine the historical information and to plan for the future maintenance </li></ul>
  18. 18. Evaluation Overview Current Imp. Future Work Evaluation <ul><li>On-site Expert Evaluation (12 Experts) </li></ul><ul><ul><li>System Training Session (30-40 mins) </li></ul></ul><ul><ul><li>Experts Hands-on Session (45-60 mins) </li></ul></ul><ul><ul><li>Feedback and Knowledge-gain Evaluation </li></ul></ul><ul><li>Long Term Evaluation (2 bridge units) </li></ul><ul><ul><li>Deployed to North Carolina DOT and Charlotte DOT </li></ul></ul><ul><ul><li>Gain Feedback throughout the process </li></ul></ul><ul><ul><li>Feature Add-ons and Bug-Fix </li></ul></ul>
  19. 19. Evaluations Results Overview Current Imp. Future Work Evaluation <ul><li>Interactive Visual Facilitation of Decision-making process </li></ul><ul><ul><li>Identify maintenance candidates </li></ul></ul><ul><ul><li>Gather and Report Evidence </li></ul></ul><ul><li>Flexibility to assist individual workflow </li></ul><ul><ul><li>Customizable system views </li></ul></ul><ul><ul><li>Thorough examination of bridge </li></ul></ul><ul><li>Easy to get hands-on experience </li></ul><ul><ul><li>More productive </li></ul></ul><ul><ul><li>More willing to use as an Analytical tool </li></ul></ul>
  20. 20. Achievements <ul><li>Outreached to 6 States and several bridge units in Canada </li></ul><ul><li>Deployed system to local and North Carolina Department of Transportation </li></ul><ul><li>Collaborated with commercial groups to provide additional system features </li></ul><ul><li>Proposed and Received funding (1.3Million) for next 2 years </li></ul>Overview Current Imp. Future Work Evaluation
  21. 21. <ul><li>Collaborative Web-based Decision Making System </li></ul>Overview Evaluation Overview Future Direction Current Imp. Evaluation
  22. 22. <ul><li>Collaboration and Web-based Decision Making System (Close Look Web-2.0) </li></ul>Overview Evaluation Overview Future Direction Current Imp. Evaluation
  23. 23. Overview Future Direction Current Imp. Evaluation 3D LIDAR Point Structure Surface Defect Analysis
  24. 24. Overview Future Direction Current Imp. Evaluation Image Analysis on Small Format Aerial Photography
  25. 25. Thanks <ul><li>My awesome team members and my advisor </li></ul><ul><li>Xiaoyu (Hsiao-yu) Wang: [email_address] </li></ul><ul><li>http://www.ncrst.uncc.edu </li></ul>Overview Future Direction Current Imp. Evaluation

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