An interactive visual analytics system for bridge management

Authors:
Xiaoyu Wang;Wenwen Dou;Shen-En Chen;William Ribarsky;Remco Chang
Affiliations:
Charlotte Visualization Center, University of North Carolina at Charlotte;Charlotte Visualization Center, University of North Carolina at Charlotte;Department of Civil Engineer, University of North Carolina at Charlotte;Charlotte Visualization Center, University of North Carolina at Charlotte;Charlotte Visualization Center, University of North Carolina at Charlotte
Venue:
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Year:
2010

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Abstract

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 domainoriented 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.