A METHOD FOR AUTOMATIC AIRPORT OPERATION COUNTS USING CROWD-SOURCED ADS-B DATA-Reference-Cited by-同舟云学术

A METHOD FOR AUTOMATIC AIRPORT OPERATION COUNTS USING CROWD-SOURCED ADS-B DATA

Published:2022-11-29 Issue:4 Volume:26 Page:209-216
ISSN:1648-7788
Container-title:Aviation
language:
Short-container-title:

Author:

Fala Nicoletta¹^ORCID,Falas Christos²^ORCID,Falas Anastasios³^ORCID

Affiliation:

1. Mechanical and Aerospace Engineering, Oklahoma State University, 74078 Stillwater, USA

2. Department of Computer Science and Technology, University of Cambridge, Cambridge CB3 0FD, United Kingdom

3. Independent researcher

Abstract

Airports are tasked with counting and reporting their operations at least yearly. The counts are used at the local and national level to schedule maintenance, for research, and to receive funds, making their accuracy important. Historically, methods for counting operations at non-towered airports have relied on additional equipment at the airport or statistical estimates. In this work, we introduce a method to use crowd-sourced Automatic Dependent Surveillance – Broadcast (ADS-B) data from the OpenSky network to automatically count airport operations and report it separated by takeoffs and landings. We use two airports as case studies – Tulsa International Airport (TUL) and Purdue University Airport (LAF) – and compare the estimated operation counts from the ADS-B data algorithm to numbers reported through the Federal Aviation Administration’s (FAA) Air Traffic Activity Data System (ATADS).

Publisher

Vilnius Gediminas Technical University

Subject

Aerospace Engineering

Reference16 articles.

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5. Estimating Airport Operations at General Aviation Airports Using the FAA NPIAS Airport Categories