DV8 – The Ohio State University’s Spatial-Temporal Air Traffic Performance Visualization and Analysis tool applies bre
akthrough high volume data analytics technologies with the ability to search billion-tuples size datasets through direct query and speculative execution over a distributed aggregate network for ultra-fast interactive response times. The result is a fully interactive visualization and analysis tool that allows the user to analyze multiple or individual flight routes, air traffic control sectors, departure, arrival, and approach procedures, in a highly dynamic spatial-temporal 4-D environment.
DV8 takes advantage of the Federal Aviation Administration’s NextGen System Wide Information Management (SWIM) data feeds, which provide both real-time and historical flight tracking information to subscribers. Effective analysis of such high volume data requires new tools. DV8 is the first such tool that applies the data in a highly interactive, spatial and temporal, four-dimensional (4-D) environment.
https://www.youtube.com/watch?v=zVzU2Go46Ag
DV8 Faculty Investigators:
- Dr. Seth Young, McConnell Chair of Aviation, OSU Center for Aviation Studies
- Dr. Arnab Nandi, Associate Professor, Department of Computer Science & Engineering
Undergraduate Researchers:
- Lang Xu, Dept. of Computer Science & Engineering
- Steve Zhu, Dept. of Computer Science & Engineering
- Jike Zhong, Dept. of Computer Science & Engineering
DV8 Alumni:
- Behrooz Omidvar-Tehrani, Post-Doctoral Researcher, 2015-2017
- Dalton Flannagan, Undergraduate Assistant, 2016-2017
- Nicholas Meyer, Undergraduate Assistant, 2017-2018
- Yifan Song, Undergraduate Assistant, 2018-2020
- Keyang Yu, Undergraduate Assistant, 2019-2020
Associated Publications
- Behrooz Omidvar-Tehrani, Arnab Nandi, Seth Young, Nicholas Meyer, Dalton Flanagan: DV8: Interactive Analysis of Aviation Data, ICDE Demo, 2017
- Nicholas Meyer, Behrooz Omidvar-Tehrani, Arnab Nandi, Seth Young: DV8: Interactive Analysis of Aviation Data, Poster Presentation, 2017 Ohio State University Denman Undergraduate Research Forum, First Place Winner in Category!
- Song, Yu, DV8: Interactive Analysis of Aviation Data, Poster Presentation, 99th Annual Meeting of the Transportation Research Board, 2020
- Song, Yu, Young, Categorizing Flight Paths using Data Visualization and Clustering Methodologies, Proceedings of the 2020 International Conference on Research in Air Transportation (ICRAT).
Interact with DV8!
This project was founded as a partnership between the OSU Center for Aviation Studies and the OSU Interactive Data Systems research group – an excellent example of collaboration, leveraging expertise in data science and aviation systems to provide benefits to industry. The principal investigators would like to thank NetJets, Inc., the industry leader in private aviation, for their continued support and encouragement in the development of DV8, and the Federal Aviation Administration for access to their NextGen Air Traffic Data via the FAA NextGen SWIM program.