Simple Tool for Aircraft Noise-Reduction Route Design

Li, Jinhua; Chen, Neil; Ng, Hok K.; Sridhar, Banavar

doi:10.2514/6.2015-2598

Cited by 6 publications

(5 citation statements)

References 6 publications

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“…Enabling a large number of scenarios to be computed in a short period of time, this statistically based classification and selection of representative-in-class vehicles can therefore be especially useful for multi-objective optimization analysis of aircraft technologies for minimizing environmental impact (Afonso et al, 2017;Jimenez and Mavris, 2017), aircraft route optimization for minimizing aircraft noise and emissions (Li et al, 2015), and economicenvironmental tradeoffs analysis (Rosskopf et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…However, these high-fidelity airport noise models achieve minimal uncertainty at the expense of a significant computational time, and therefore they are not always practical in preliminary strategic planning and decision making involving several technology options, noise-abatement procedures and/or air traffic strategies. To overcome such requirements of computational time and allow a rapid calculation of airport noise outputs, a number of simplified airport noise models for fleet-level studies have been developed (Dikshit and Crossley, 2009;Bernardo et al, 2015;Li et al, 2015;Torija et al, 2017). These simplified airport noise models assume several simplifications, which decrease the accuracy when computing noise outputs and restrict their application to some specific conditions and/or scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Aircraft classification for efficient modelling of environmental noise impact of aviation

Torija

Self

2018

Journal of Air Transport Management

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With the environmental externalities of civil aviation under unprecedented scrutiny, and with the projected significant increase in air traffic demand over the next few decades, fleet-level studies are required to assess the potential benefit of novel aircraft technologies and operational procedures for minimising environmental impact of aviation. Using a statistical classification process, the UK commercial aircraft fleet is reduced to four representative-in-class aircraft on the basis of aircraft physical characteristics, and aircraft noise and engine exhaust emissions. These four representative aircraft, that appropriately capture the noise and emissions characteristics for each category within the UK commercial fleet, are also selected to be used as baseline cases for the high-level assessment of the environmental benefit of novel aircraft technologies. For the particular case of aviation noise, the modelling tools are highly sensitive to the number of aircraft types in the flight schedule. A reduction of about 80% in computational time with relatively minor decrease in accuracy (between-4% and +5%) is observed when the whole aircraft fleet is replaced with the four representative-in-class aircraft for computing noise contours. Therefore, the statistical classification and selection of representative-in-class aircraft presented in this paper is a valid approach for the rapid and accurate computation of a large number of exploratory cases to assess aviation noise reduction strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aircraft classification for efficient modelling of environmental noise impact of aviation

Torija

Self

2018

Journal of Air Transport Management

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“…The noise computation method is based on SAE's standard procedures that are also used in the FAA's software [12][13][14]. Detailed equations and discussions can be found in previous work [15]. The method is implemented in the C programming language.…”

Section: Software Modelmentioning

confidence: 99%

AIRNOISE: a Tool for Preliminary Noise-Abatement Terminal Approach Route Design

Sridhar

Xue

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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Noise from aircraft in the airport vicinity is one of the leading aviation-induced environmental issues. The FAA developed the Integrated Noise Model (INM) and its replacement Aviation Environmental Design Tool (AEDT) software to assess noise impact resulting from all aviation activities. However, a software tool is needed that is simple to use for terminal route modification, quick and reasonably accurate for preliminary noise impact evaluation and flexible to be used for iterative design of optimal noise-abatement terminal routes. In this paper, we extend our previous work on developing a noise-abatement terminal approach route design tool, named AIRNOISE, to satisfy this criterion. First, software efficiency has been significantly increased by over tenfold using the C programming language instead of MATLAB. Moreover, a state-of-the-art high performance GPU-accelerated computing module is implemented that was tested to be hundreds time faster than the C implementation. Secondly, a Graphical User Interface (GUI) was developed allowing users to import current terminal approach routes and modify the routes interactively to design new terminal approach routes. The corresponding noise impacts are then calculated and displayed in the GUI in seconds. Finally, AIRNOISE was applied to Baltimore-Washington International Airport terminal approach route to demonstrate its usage.

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“…Currently, most researches take the coverage of noise level as the evaluation indicator, but it cannot directly and accurately reflect the impact of aviation noise on the surrounding residents. This paper refers to the noise exposure population evaluation method proposed by Jinhua Li [13,14], divides the covered area of the terminal area into several grids with an area of S, and takes the center of the grid as the noise measuring point. According to the density distribution of residents, the total population of different noise level was calculated.…”

Section: Noisementioning

confidence: 99%

Optimization Method for Reducing the Air Pollutant Emission and Aviation Noise of Arrival in Terminal Area

Tian

Wan

et al. 2019

Sustainability

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In order to reduce the environmental impact of aircraft operation in the terminal area, this paper researched the route optimization method. Firstly, this paper constructed the air pollutant emission and noise assessment model, and the flight performance model. Secondly, aiming at reducing air emissions and noise level, the multi-objective terminal area route optimization model is established based on the principles of flight safety and flight procedure construction. Then this paper puts forward the path optimization method of emission and noise reduction of terminal area route network, through the research on the priority setting method of terminal area approach and departure route planning. The route segmentation method and NSGA-II algorithm are employed to solve the problem. Finally, a numerical case study is carried out for the Shanghai terminal area, and yields the following results: (1) Compared with the original route network, the optimized route network in the terminal area can significantly reduce emission and noise by reducing pollutant emission by 51.4% and noise influence by 21.5%; (2) The method can also reduce fuel consumption by 60.5% and the total route length by 21.1%. Sustainability 2019, 11, 4715 2 of 16 route by taking noise and fuel consumption into consideration [5]. Wang et al. designed a de-noising optimization method for departure route based on fuzzy theory [6]. Muller et al. took the arrival route of Seattle Airport as an example for analysis, and the results showed that the optimized single arrival route could save about 40% of fuel consumption at most [7]. Hartjes et al. proposed the design method of emission reduction and noise reduction of departure route in terminal area under the influence of single event, combining with the degree of residents' annoyance caused by noise [8]. Braakenburg et al. proposed a noise-reducing trajectory design method for arrival routes with the influence of multiple events, and designed a piecewise optimization method for approach routes based on Area Navigation (RNAV) [9]. Dougui et al. considered aircraft conflicts in the terminal area and proposed the arrival route design method based on the light propagation model by referring to the mode of light propagation in media [10,11]. Richter et al. used two-layer hybrid algorithm to calculate the minimum noise trajectory [12]. Li et al. designed an improvement method of the arrival route for preliminary noise reduction, by taking the population affected by noise as the evaluation reference, and changed the noise impact range by changing the horizontal flight path of aircraft [13,14]. Taghizadeh et al. used the atmospheric dispersion model to construct the dispersion model of air emissions in the terminal area, and the emission databank of International Civil Aviation Organization (ICAO) was utilized to estimate the pollutant emission rate of each aircraft [15]. On the route network path optimization of the terminal area, Xue et al. optimized the twodimensional route network path of the terminal area. The r...

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Simple Tool for Aircraft Noise-Reduction Route Design

Cited by 6 publications

References 6 publications

Aircraft classification for efficient modelling of environmental noise impact of aviation

Aircraft classification for efficient modelling of environmental noise impact of aviation

AIRNOISE: a Tool for Preliminary Noise-Abatement Terminal Approach Route Design

Optimization Method for Reducing the Air Pollutant Emission and Aviation Noise of Arrival in Terminal Area

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