An Interactive Visual Analytics System for Bridge Management

被引:15
|
作者
Wang, Xiaoyu [1 ]
Dou, Wenwen [1 ]
Chen, Shen-En [2 ]
Ribarsky, William [1 ]
Chang, Remco [1 ]
机构
[1] Univ N Carolina, Charlotte Visualizat Ctr, Charlotte, NC 28223 USA
[2] Univ N Carolina, Dept Civil Engineer, Charlotte, NC 28223 USA
基金
美国国家科学基金会;
关键词
I.3.3 [Computer Graphics]: Picture/Image Generation - Line and curve generation;
D O I
10.1111/j.1467-8659.2009.01708.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:1033 / 1042
页数:10
相关论文
共 50 条
  • [21] VideoPro: A Visual Analytics Approach for Interactive Video Programming
    He, Jianben
    Wang, Xingbo
    Wong, Kam Kwai
    Huang, Xijie
    Chen, Changjian
    Chen, Zixin
    Wang, Fengjie
    Zhu, Min
    Qu, Huamin
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 30 (01) : 87 - 97
  • [22] Interactive Analytics System for Exploring Outliers
    Wei, Mingrui
    Cao, Lei
    Cormier, Chris
    Zheng, Hui
    Rundensteiner, Elke A.
    [J]. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2017, : 2547 - 2550
  • [23] RISKWHEEL: INTERACTIVE VISUAL ANALYTICS FOR SURVEILLANCE EVENT DETECTION
    Cheng, Yu
    Brown, L.
    Fan, Q.
    Feris, R.
    Pankanti, S.
    Zhang, Tao
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2014,
  • [24] Interactive Machine Learning Tool for Clustering in Visual Analytics
    Thrun, Michael
    Pape, Felix
    Ultsch, Alfred
    [J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020), 2020, : 479 - 487
  • [25] Interactive Visual Analytics for Knowledge Integration and Decision Intelligence
    Ebert, David
    Fisher, Brian
    Gaither, Kelly
    [J]. Proceedings of the Annual Hawaii International Conference on System Sciences, 2023, 2023-January
  • [26] Interactive visual analytics of hydrodynamic flux for the coastal zone
    Richard L. S. F. George
    Peter E. Robins
    Alan G. Davies
    Panagiotis D. Ritsos
    Jonathan C. Roberts
    [J]. Environmental Earth Sciences, 2014, 72 : 3753 - 3766
  • [27] Hawkeye: an interactive visual analytics tool for genome assemblies
    Michael C Schatz
    Adam M Phillippy
    Ben Shneiderman
    Steven L Salzberg
    [J]. Genome Biology, 8
  • [28] InSocialNet: Interactive visual analytics for role—event videos
    Yaohua Pan
    Zhibin Niu
    Jing Wu
    Jiawan Zhang
    [J]. Computational Visual Media, 2019, 5 : 375 - 390
  • [29] A New Interactive Platform for Visual Analytics of Social Networks
    Nguyen, Quang Vinh
    Huang, Mao Lin
    [J]. VISUAL INFORMATION COMMUNICATION, 2010, : 231 - +
  • [30] Epiviz: interactive visual analytics for functional genomics data
    Chelaru, Florin
    Smith, Llewellyn
    Goldstein, Naomi
    Bravol, Hector Corrada
    [J]. NATURE METHODS, 2014, 11 (09) : 938 - 940