The US Bridge Portal -Visualization Analytics Applications for the National Bridge Inventory (NBI) Database

International Journal of Civil Engineering
© 2015 by SSRG - IJCE Journal
Volume 2 Issue 10
Year of Publication : 2015
Authors : Matija Radovic, Dr. Offei Adarkwa
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How to Cite?

Matija Radovic, Dr. Offei Adarkwa, "The US Bridge Portal -Visualization Analytics Applications for the National Bridge Inventory (NBI) Database," SSRG International Journal of Civil Engineering, vol. 2,  no. 10, pp. 1-5, 2015. Crossref, https://doi.org/10.14445/23488352/IJCE-V2I10P101

Abstract:

For decades, the National Bridge Inventory (NBI) has served as an extensive resource used by bridge engineers and managers to study bridge deterioration patterns and plan funding allocations for repairs and rehabilitation. Data visualization in the form of static graphs and charts are used often to summarize findings. This approach may be limited considering the fact that the NBI database is multidimensional. In order to gain valuable information and insight from the NBI database, there is the need for interactive and dynamic visual data exploration tools. This paper discusses the US Bridge Portal (USBP), a visualization data mining web application used to explore the NBI data. The USBP is a data exploration tool which generates interactive maps from the NBI database to provide an overview of bridge conditions, attributes and needs in US states. Using a combination of cross-filters and spatial outputs, the dynamic maps generated have the potential to provide a greater level of insight into the NBI data which will lead to improved bridge management.

Keywords:

Data mining, Visualization, Bridges, Infrastructure management, US Bridge Portal.

References:

[1] O. Adarkwa, T. Schumacher, and N. Attoh-Okine, “Multiway Analysis of Bridge Structural Types in the National Bridge Inventory (NBI)-A Tensor Decomposition Approach”, IEEE International Conference on Big Data. 978-1-4799-5666-1. 2014.
[2] S. Solomon, H. Nguyen, J. Liebowitz, and W. Agresti, “Using data mining to improve traffic safety programs”. Industrial Management & Data Systems. Vol. 106 Iss 5 pp. 621-643. 2006.
[3] U. Fayyad, G. Grinstein, and A. Wierse, “Information Visualization in Data Mining and Knowledge Discovery”. Morgan Kaufmann. ISBN 1-55860-689-0, p28. 2002.
[4] W. Dekelbab, A. Al-Wazeer, and B. Harris, “History Lessons From the National Bridge Inventory”. Public Roads. FHWAHRT- 08-004. Vol. 71, No. 6. 2008.
[5] NBIS. National Bridge Inspection Standards. Federal Register/Vol. 69, No. 239 / Rules and Regulation, p74419. http://www.gpo.gov/fdsys/pkg/FR-2004-12-14/pdf/04- 27355.pdf Accessed: 3/9/2015.
[6] N. Wu, and S. Chase, “An Exploratory Data Analysis of National Bridge Inventory.” UVA-2009-03. p4. 2010.
[7] M. Bolukbasi, J. Mohammadi, and D. Arditi, “Estimating the Future Condition of Highway Bridge Components Using National Bridge Inventory Data.” Practice Periodical on Structural Design and Construction. Vol. 9, No. 1. 2002.
[8] S.B Chase, E.P. Small, and C. Nutakor, “An in-depth analysis of the national bridge inventory database utilizing data mining, GIS and advanced statistical methods”. TRB. Transportation Research Circular 498. C-6/1- C-6/17. 1999.
[9] X. Sun, Z. Zhang, R. Wang, X. Wang, J. Chapman, “Analysis of Past National Bridge Inventory Ratings for Predicting Bridge System Preservation Needs”. Transportation Research Record No. 1966. Pp 36-43. 2004.
[10] http://www.civildatanalytics.com/us-bridge-portal.html. Accessed 06/25/2015.