Air Traffic Control Decision Support for Integrated Community Noise Management

Sander, J.; Hendrikus, G.

doi:10.5772/25215

Cited by 1 publication

(1 citation statement)

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“…Building new airports and expanding the runway capacity of existing ones is one possible solution to congestion. However, this solution might result in negative environmental impacts on the quality of life of near-airport communities, such as noise disturbance, emissions, water pollution and habitat destruction (Laurenzo, 2006;Ho-Huu et al, 2017;Arntzen and Simons, 2014;Visser et al, 2008). In fact, several studies show a correlation between aircraft noise exposure and cardiovascular or psychological disease (Postorino and Mantecchini, 2015).…”

Section: Introductionmentioning

confidence: 99%

Improving aircraft approach operations taking into account noise and fuel consumption

Rodríguez-Díaz

Adenso‐Díaz

González-Torre

2019

Journal of Air Transport Management

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While air transport brings very significant economic and social benefits to the cities and regions served by airports, aircraft noise is the single major cause of community opposition to airport operations, becoming a critical issue that affects the sustainability of future traffic growth. However, planning operations exclusively focusing on noise impact may result in an increase of fuel consumption or delays. This paper develops a suitable bi-objective model for landing aircraft, which finds a schedule that minimises noise impact, total fuel consumption and delays, under wake vortex separation and Constrained Position Shifting restrictions. The results of this model are compared with real operations in a major European airport to assess the potential level of improvements. By comparing with real data from Madrid-Barajas airport, the research shows potential improvements of up to 4.5% reduction of total fuel consumption (without increasing noise levels) only by modifying the sequence of arrivals, and up to 43% (without extra fuel consumption) of reduction in noise impact over the populations under study.

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Section: Introductionmentioning

confidence: 99%