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Proceedings Paper

Knowledge integrated visual analysis system for in-depth management of bridge safety and maintenance
Author(s): Xiaoyu Wang; Wenwen Dou; Rashna Vatcha; Wanqiu Liu; Shen-En Chen; Seok-Won Lee; Remco Chang; William Ribarsky
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Paper Abstract

Infrastructure 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.

Paper Details

Date Published: 30 April 2009
PDF: 9 pages
Proc. SPIE 7346, Visual Analytics for Homeland Defense and Security, 734606 (30 April 2009); doi: 10.1117/12.818405
Show Author Affiliations
Xiaoyu Wang, Univ. of North Carolina at Charlotte (United States)
Wenwen Dou, Univ. of North Carolina at Charlotte (United States)
Rashna Vatcha, Univ. of North Carolina at Charlotte (United States)
Wanqiu Liu, Univ. of North Carolina at Charlotte (United States)
Shen-En Chen, Univ. of North Carolina at Charlotte (United States)
Seok-Won Lee, Univ. of North Carolina at Charlotte (United States)
Remco Chang, Univ. of North Carolina at Charlotte (United States)
William Ribarsky, Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 7346:
Visual Analytics for Homeland Defense and Security
William J. Tolone; William Ribarsky, Editor(s)

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