Reasonably optimal utilisation through evolution (ROUTE) in airspace design

Thomas Lawson; Linda Yang

doi:10.1007/978-3-030-32523-7_17

Reasonably optimal utilisation through evolution (ROUTE) in airspace design

Thomas Lawson, Linda Yang

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

148 Downloads (Pure)

Abstract

The underlying navigation technology that enables the navigation of aircraft through airspace is improving, allowing aircraft to navigate waypoints that do not need to be previously defined, no longer being confined to antiquated navigational aids. From this the opportunity is arising to create highly optimized airspace that can change its design on the fly in reaction to the environment. This paper presents a novel approach towards route finding in airspace design using computational evolution. The proposed method, ROUTE, can create new airspace designs in reaction to changing environmental constraints, optimising for fuel burn (therefore cost and emissions) as well as noise disturbance, and route length.

Original language	English
Title of host publication	Proceedings of the Future Technologies Conference 2019
Publisher	Springer
Pages	260-274
Number of pages	15
ISBN (Electronic)	978-3-030-32523-7
ISBN (Print)	978-3-030-32522-0
DOIs	https://doi.org/10.1007/978-3-030-32523-7_17
Publication status	Published - 10 Oct 2019
Event	Future Technologies Conference 2019 - San Francisco, United Kingdom Duration: 24 Oct 2019 → 25 Oct 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	1070
ISSN (Print)	2194-5357

Conference

Conference	Future Technologies Conference 2019
Country/Territory	United Kingdom
City	San Francisco
Period	24/10/19 → 25/10/19

Keywords

air space
genetic algorithms
dynamic airspace
constrained optimisation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-32523-7_17

ROUTE Paper
This is a post-peer-review, pre-copyedit version of an article published in the Proceedings of the Future Technologies Conference (FTC) 2019. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-32523-7_17.
Accepted author manuscript (Post-print), 898 KB

Cite this

@inproceedings{c3d225fe2e684f47a60041d093f9789d,

title = "Reasonably optimal utilisation through evolution (ROUTE) in airspace design",

abstract = "The underlying navigation technology that enables the navigation of aircraft through airspace is improving, allowing aircraft to navigate waypoints that do not need to be previously defined, no longer being confined to antiquated navigational aids. From this the opportunity is arising to create highly optimized airspace that can change its design on the fly in reaction to the environment. This paper presents a novel approach towards route finding in airspace design using computational evolution. The proposed method, ROUTE, can create new airspace designs in reaction to changing environmental constraints, optimising for fuel burn (therefore cost and emissions) as well as noise disturbance, and route length.",

keywords = "air space, genetic algorithms, dynamic airspace, constrained optimisation",

author = "Thomas Lawson and Linda Yang",

year = "2019",

month = oct,

day = "10",

doi = "10.1007/978-3-030-32523-7_17",

language = "English",

isbn = "978-3-030-32522-0",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "260--274",

booktitle = "Proceedings of the Future Technologies Conference 2019",

note = "Future Technologies Conference 2019 ; Conference date: 24-10-2019 Through 25-10-2019",

}

TY - GEN

T1 - Reasonably optimal utilisation through evolution (ROUTE) in airspace design

AU - Lawson, Thomas

AU - Yang, Linda

PY - 2019/10/10

Y1 - 2019/10/10

N2 - The underlying navigation technology that enables the navigation of aircraft through airspace is improving, allowing aircraft to navigate waypoints that do not need to be previously defined, no longer being confined to antiquated navigational aids. From this the opportunity is arising to create highly optimized airspace that can change its design on the fly in reaction to the environment. This paper presents a novel approach towards route finding in airspace design using computational evolution. The proposed method, ROUTE, can create new airspace designs in reaction to changing environmental constraints, optimising for fuel burn (therefore cost and emissions) as well as noise disturbance, and route length.

AB - The underlying navigation technology that enables the navigation of aircraft through airspace is improving, allowing aircraft to navigate waypoints that do not need to be previously defined, no longer being confined to antiquated navigational aids. From this the opportunity is arising to create highly optimized airspace that can change its design on the fly in reaction to the environment. This paper presents a novel approach towards route finding in airspace design using computational evolution. The proposed method, ROUTE, can create new airspace designs in reaction to changing environmental constraints, optimising for fuel burn (therefore cost and emissions) as well as noise disturbance, and route length.

KW - air space

KW - genetic algorithms

KW - dynamic airspace

KW - constrained optimisation

UR - https://saiconference.com/FTC

U2 - 10.1007/978-3-030-32523-7_17

DO - 10.1007/978-3-030-32523-7_17

M3 - Conference contribution

SN - 978-3-030-32522-0

T3 - Advances in Intelligent Systems and Computing

SP - 260

EP - 274

BT - Proceedings of the Future Technologies Conference 2019

PB - Springer

T2 - Future Technologies Conference 2019

Y2 - 24 October 2019 through 25 October 2019

ER -

Reasonably optimal utilisation through evolution (ROUTE) in airspace design

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this