FAA NEXTOR II Project DO-10 / NEXTOR III Project DO-6
Small Airport Capacity Modeling Factors
The Federal Aviation Administration is interested in developing new
capacity modeling factors for small aircraft operations at busy general
aviation airports, as current estimates for small airport operating
capacity are dated. This research seeks to identify specific data that
will contribute to the development of modernized airport capacity models
for small aircraft operations.
This project is being conducted by the University of Maryland and the Ohio State University under contract to the Federal Aviation Administration. At the University of Maryland, Professor David Lovell leads the team. MS student Danae Mitkas worked on the project for two years, until she graduated and took a job at the FAA. A new Ph.D. student, Zhuoxuan Cao, has joined the team at UMD. At the Ohio State University, Professor Seth Young leads the team. MS student Hui Jeong Ha worked on the project for its first year, until her graduation. MS student Sandeep Venkatesh then joined the project at OSU, and continued until his graduation. Now, new Ph.D. student Aishwarya Bokil is taking up the reins at OSU.
|Professor David Lovell||Professor Seth Young||Danae Mitkas||Sandeep Venkatesh||Aishwarya Bokil||Zhuoxuan Cao|
The core of the data collection hardware is a Raspberry Pi configured with a Software-Defined Radio (SDR) to decode ADS-B transmissions. We put two such devices at each subject airport, one for receiving and decoding the older 978 MHz UAT version of ADS-B, and one for receiving and decoding the newer 1090 Mhz Extended Squitter (ES) format. We keep track of core temperature and free disk space on the remote data collection units, and we have the ability to remotely ping them, reboot them, or tunnel into them via secure SSH.
These devices transmit their data to our AWS infrastructure in two ways:
To date, we have active installations at the following airports:
We make use of two primary database services from AWS:
There are quite a few different coding/scripting languages that are used for this project:
The project team, sponsors, and airport partners are able to view a dynamically updated list of all flights currently being tracked at all of the airport stations. This list can be sorted and/or filtered according to any of the data fields to allow the user to focus on any particular subset of the data.
The project team, sponsors, and airport partners are able to view a dynamic mapping display that shows aircraft currently being tracked in real time. In addition to showing aircraft locations and headings graphically, there is a smaller version of the flight data table. There are also optional tables that show some system statistics, METAR weather reports at the nearest study airport, lat/long coordinates of the mouse cursor, and some individual device statistics. By clicking on an individual aircraft icon, or on a flight in the flight list, additional information pops up, including aircraft n-number, callsign, type, and engine type. Any of the n-numbers shown can be clicked to link through to the FAA registration page for that particular aircraft.
The team continues to present and publish results from the project. Here is a list of our papers and presentations to date: