Project 14: Analysis and visualization of bridge condition data
Project abstract: Maintaining our aging and deteriorating infrastructure consisting of bridges, roads, and tunnels in a safe and functional condition poses a significant challenge. Transportation agencies charged with this task are always looking for new ways to better use the limited monies they receive. This project aims to help agencies make better decisions regarding maintenance and repair and how funding should be used, using publicly available bridge condition data. We are working on several aspects related to this: statistical analysis of bridge condition data, modeling (e.g. regression) of data, and data visualization. We use tools such as MATLAB, R, and Python for our work.
Keywords:
- Infrastructure
- Bridges
- Data Analysis
- Data Visualization
- Modeling
- Asset Management
Faculty Mentors:
Thomas Schumacher (https://www.pdx.edu/cee/
Avi Unnikrishnan (https://www.pdx.edu/cee/
Lab or team: na
Department: Civil and Environmental Engineering
Community partner(s): na
Desired skills: fundamental background in either statistics/probability, data analysis/modeling, or data visualization
Tools to be used: MATLAB, R, and Python
Involves teamwork: Yes, will work with graduate student on project