Cargando…

Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data

Terminal area (TMA) is a significant component of the air transportation and air traffic management system. TMA consists of the airport and the transitional airspace between airports and air traffic control sectors and plays a non-trivial role in determining throughput and operational efficiency. Fl...

Descripción completa

Detalles Bibliográficos
Autores principales: Chandra, Aitichya, Verma, Ashish, Sooraj, K. P., Parayam Kunnathu, Nithya, Padhi, Radhakant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980238/
http://dx.doi.org/10.1007/s40890-022-00153-8
_version_ 1784681345473052672
author Chandra, Aitichya
Verma, Ashish
Sooraj, K. P.
Parayam Kunnathu, Nithya
Padhi, Radhakant
author_facet Chandra, Aitichya
Verma, Ashish
Sooraj, K. P.
Parayam Kunnathu, Nithya
Padhi, Radhakant
author_sort Chandra, Aitichya
collection PubMed
description Terminal area (TMA) is a significant component of the air transportation and air traffic management system. TMA consists of the airport and the transitional airspace between airports and air traffic control sectors and plays a non-trivial role in determining throughput and operational efficiency. Flights in TMA fly through defined courses, distances, and altitudes between specified navigation aids, expressed as standard terminal arrival routes and standard instrument departures. TMA operations are intrinsically complex, and a deeper understanding of TMA operational behaviour and performance is essential to provide timely solutions for schedule and slot allocations, flow, and congestion management. This paper proposes a flight record driven descriptive framework for simplified analysis and characterization of air traffic flows in TMA. This framework aims to perform a cross-sectional descriptive analysis of four key flow performance metrics and proposes a three-step methodology to extract these parameters from flight records. The framework is easy to comprehend, and results can contribute to developing new strategies and decision support tools for TMA traffic management.
format Online
Article
Text
id pubmed-8980238
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-89802382022-04-05 Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data Chandra, Aitichya Verma, Ashish Sooraj, K. P. Parayam Kunnathu, Nithya Padhi, Radhakant Transp. in Dev. Econ. Original Paper Terminal area (TMA) is a significant component of the air transportation and air traffic management system. TMA consists of the airport and the transitional airspace between airports and air traffic control sectors and plays a non-trivial role in determining throughput and operational efficiency. Flights in TMA fly through defined courses, distances, and altitudes between specified navigation aids, expressed as standard terminal arrival routes and standard instrument departures. TMA operations are intrinsically complex, and a deeper understanding of TMA operational behaviour and performance is essential to provide timely solutions for schedule and slot allocations, flow, and congestion management. This paper proposes a flight record driven descriptive framework for simplified analysis and characterization of air traffic flows in TMA. This framework aims to perform a cross-sectional descriptive analysis of four key flow performance metrics and proposes a three-step methodology to extract these parameters from flight records. The framework is easy to comprehend, and results can contribute to developing new strategies and decision support tools for TMA traffic management. Springer International Publishing 2022-04-05 2022 /pmc/articles/PMC8980238/ http://dx.doi.org/10.1007/s40890-022-00153-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Chandra, Aitichya
Verma, Ashish
Sooraj, K. P.
Parayam Kunnathu, Nithya
Padhi, Radhakant
Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title_full Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title_fullStr Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title_full_unstemmed Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title_short Understanding the Terminal Area Traffic Flow Characteristics Using Flight Record Data
title_sort understanding the terminal area traffic flow characteristics using flight record data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980238/
http://dx.doi.org/10.1007/s40890-022-00153-8
work_keys_str_mv AT chandraaitichya understandingtheterminalareatrafficflowcharacteristicsusingflightrecorddata
AT vermaashish understandingtheterminalareatrafficflowcharacteristicsusingflightrecorddata
AT soorajkp understandingtheterminalareatrafficflowcharacteristicsusingflightrecorddata
AT parayamkunnathunithya understandingtheterminalareatrafficflowcharacteristicsusingflightrecorddata
AT padhiradhakant understandingtheterminalareatrafficflowcharacteristicsusingflightrecorddata