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Get Free AccessInfrastructure safety affects millions of U.S citizens in many ways. Among all the infrastructures, the bridge plays a significant role in providing substantial economy and public safety. Nearly 600,000 bridges across the U.S are mandated to be inspected every twenty-four months. Although these inspections could generate great amount of rich data for bridge engineers to make critical maintenance decisions, processing these data has become challenging due to the low efficiency from those traditional bridge management systems. In collaboration with North Carolina Department of Transportation (NCDOT) and other regional DOT collaborators, we present our knowledge integrated visual analytics bridge management system. Our system aims to provide bridge engineers a highly interactive data exploration environment as well as knowledge pools for corresponding bridge information. By integrating the knowledge structure with visualization system, our system could provide comprehensive understandings of the bridge assets and enables bridge engineers to investigate potential bridge safety issues and make maintenance decisions.
Xiaoyu Wang, Wenwen Dou, Rashna Vatcha, Wanqiu Liu, Shenen Chen, Seok-Won Lee, Remco Chang, William Ribarsky (2009). Knowledge integrated visual analysis system for in-depth management of bridge safety and maintenance. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, 7346, pp. 734606-734606, DOI: 10.1117/12.818405.
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Type
Article
Year
2009
Authors
8
Datasets
0
Total Files
0
Language
English
Journal
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
DOI
10.1117/12.818405
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