Air traffic assignment to reduce population noise exposure and fuel consumption using multi-criteria optimisation

Emir Ganić, Vinh Ho Huu, Obrad Babić, Sander Hartjes

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

58 Downloads (Pure)

Abstract

Air traffic assignment to departure and arrival routes has a major impact on the population noise exposure in the vicinity of the airport. In some cases, by choosing the suitable air traffic assignment it is possible to avoid overflying populated areas and reduce number of people affected by noise. However, such an approach almost always leads to an increase in route length, and therefore an increase in fuel consumption and CO2 emissions. Although aircraft noise and fuel consumption reduction are conflicting goals, they both represent pivotal aspects of air transport sustainable development. In this paper, the methods of multi-criteria optimisation are applied, which are generally used when it is necessary to make an optimal decision that requires a compromise (trade-off) solution between two or more conflicting goals. This research aims to develop a mathematical model and to propose an algorithm for air traffic assignment to departure and arrival routes that will, through the Pareto optimality concept, find the approximation of a set of nondominated solutions that minimize population noise exposure and fuel consumption. The approach was demonstrated on Belgrade airport to show the benefits of the proposed model on a real data example. Since all Pareto optimal solutions are considered equally good, from all obtained air traffic assignments, the three representative solutions were compared to the actual air traffic assignment (Base case). The obtained results indicate that the proposed approach can provide solutions which offer a good trade-off between the concerned metrics.
Original languageEnglish
Title of host publicationProceedings of the 26th International conference noise and vibration
Subtitle of host publication7-8 December 2018, Nis, Serbia
EditorsProf. Dragan Cvetkovic, Prof. Vasile Marinca
Number of pages8
Publication statusPublished - 2018
Event26th International conference noise and vibration - Nis, Serbia
Duration: 6 Dec 20187 Dec 2018
Conference number: 26
http://www.znrfak.ni.ac.rs/NOISE2018/

Conference

Conference26th International conference noise and vibration
CountrySerbia
CityNis
Period6/12/187/12/18
Internet address

Fingerprint

Dive into the research topics of 'Air traffic assignment to reduce population noise exposure and fuel consumption using multi-criteria optimisation'. Together they form a unique fingerprint.

Cite this