Measuring Airport Similarity to Create a Towering Decision Aid; Big Data and its Implications for Privacy
Quinn, Michael, School of Engineering and Applied Science, University of Virginia
Fleming, Cody, EN-Eng Sys and Environment, University of Virginia
Gorman, Michael, EN-Engineering and Society, University of Virginia
The technical report consists of an entirely different subject. This report is centered around the idea of quantifying the benefit of installing an Air Traffic Control Tower (ATCT) at a non-towered airport. The benefits have broken down into three different metric categories: safety, economic, and efficiency. Data cleaning, clustering analysis, and other techniques were practiced in order to obtain the final results. The ultimate deliverable is a data visualization interface that allows the user to see which airports are similar to the airport in question by providing various statistics related to the three metrics named above.
The STS topic and the technical report are two totally unrelated and mutually exclusive topics.
BS (Bachelor of Science)
big data, privacy, ethics, air traffic control tower
School of Engineering and Applied Science
Bachelor of Science in Systems Engineering
Technical Advisor: Cody Fleming
STS Advisor: Michael Gorman
Technical Team Members: Austin Anderson, Toby Hansford, Mason Jordan, Sragi Khakurel, Chris Marshall, Katherine Taylor, Amy Xie
All rights reserved (no additional license for public reuse)