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Physics Maths Engineering

Air traffic inefficiencies and predictability evaluation using route mapping—the Tokyo International Airport case

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Adriana Andreeva-Mori

Adriana Andreeva-Mori


  Peer Reviewed

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© attribution CC-BY

  • 0

rating
505 Views

Added on

2024-10-25

Doi: http://dx.doi.org/10.3389/fpace.2024.1347229

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology

Abstract

Air traffic inefficiencies lead to excess fuel burn, emissions and air traffic controller (ATCo) workload. Various stakeholders have developed metrics to assess the operation performance. Most metrics compare the actual trajectories to some benchmark ones to calculate excess time or distance. This research is inspired by cellular automata (CA) and develops a combined time-distance lateral inefficiency and predictability metric using discrete space and time mapping on published flight routes. The analysis is focused on Tokyo International Airport, but uses only track data and published routes, which makes it easily applicable to any other hub airport worldwide. The mapping and velocity analyses are used to investigate when and where ATCos are most likely to intervene to provide save separation. A metric which can be adjusted to evaluate both traffic flow predictability and efficiency is proposed. This metric can be applied to better understand current traffic and enable future improvements towards seamless air traffic flow management.

Key Questions

What is the significance of the closed-form system of nonlinear equations introduced in this study?

The closed-form system of nonlinear equations introduced in this study provides a unified framework for analyzing aircraft manoeuvres. It integrates theoretical flight dynamics with practical applications, enabling more accurate and efficient simulations of aircraft behaviour during various manoeuvres. :contentReference[oaicite:1]{index=1}

How does the model validate its accuracy in representing aircraft dynamics?

The model validates its accuracy by recovering well-known short period and phugoid modes, which are fundamental to understanding aircraft stability and control. This validation demonstrates the model's capability to accurately represent the dynamic characteristics of fixed-wing aircraft. :contentReference[oaicite:2]{index=2}

What practical applications could arise from implementing model-based manoeuvre analysis in pilot training?

Implementing model-based manoeuvre analysis in pilot training could lead to improved safety standards in both general and commercial aviation. It may also expedite theoretical course completion in air transport by providing a more comprehensive understanding of aircraft dynamics, thereby enhancing pilot proficiency and decision-making skills. :contentReference[oaicite:3]{index=3}

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ARTICLE USAGE


Article usage: Oct-2024 to May-2025
Show by month Manuscript Video Summary
2025 May 121 121
2025 April 76 76
2025 March 71 71
2025 February 53 53
2025 January 59 59
2024 December 47 47
2024 November 62 62
2024 October 16 16
Total 505 505
Show by month Manuscript Video Summary
2025 May 121 121
2025 April 76 76
2025 March 71 71
2025 February 53 53
2025 January 59 59
2024 December 47 47
2024 November 62 62
2024 October 16 16
Total 505 505
Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology
copyright icon

© attribution CC-BY

  • 0

rating
505 Views

Added on

2024-10-25

Doi: http://dx.doi.org/10.3389/fpace.2024.1347229

Related Subjects
Physics
Math
Chemistry
Computer science
Engineering
Earth science
Biology

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