An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories

Ho-Huu, V.; Hartjes, S.; Visser, H.G.; Curran, Ricky

doi:10.3390/aerospace4040054

Cited by 23 publications

(31 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the details of the algorithm have been given in Refs. (Ho-Huu et al, 2018b, 2017Zhang and Li, 2007) interested readers are encouraged to refer to these references.…”

Section: Optimization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

An optimization framework for route design and allocation of aircraft to multiple departure routes

Ho-Huu

Hartjes

Visser

et al. 2019

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

In this article, we present the development of a two-step optimization framework to deal with the design and selection of aircraft departure routes and the allocation of flights among these routes. The aim of the framework is to minimize cumulative noise annoyance and fuel burn. In the first step of the framework, multi-objective trajectory optimization is used to compute and store a set of routes that will serve as inputs in the second step. In the second step, the selection of routes from the set of pre-computed optimal routes and the optimal allocation of flights among these routes are conducted simultaneously.To validate the proposed framework, we also conduct an analysis involving an integrated (one-step) approach, in which both trajectory optimization and route allocation are formulated as a single optimization problem. A comparison of both approaches is then performed, and their advantages and disadvantages are identified. The performance and capabilities of the present framework are demonstrated using a case study at Amsterdam Airport Schiphol in The Netherlands. The numerical results show that the proposed framework can generate solutions which can achieve a reduction in the number of people annoyed of up to 31% and a reduction in fuel consumption of 7.3% relative to the reference case solution.

show abstract

“…Since the details of the algorithm have been given in Refs. (Ho-Huu et al, 2018b, 2017Zhang and Li, 2007) interested readers are encouraged to refer to these references.…”

Section: Optimization Methodsmentioning

confidence: 99%

“…This essentially results in a ground track that consists of an alternating sequence of straight segments and constant radius turns. For an example of how these leg types are used to create a route, interested readers can refer to Ho-Huu et al (2017).…”

Section: Trajectory Parameterizationmentioning

confidence: 99%

An optimization framework for route design and allocation of aircraft to multiple departure routes

Ho-Huu

Hartjes

Visser

et al. 2019

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

show abstract

“…Similarly, Hartjes and Visser [19] applied genetic algorithms to departure flight path planning for noise abatement and emission reduction. Ho-Huu et al [20] explored evolutionary algorithms based on decomposition (MOEA/D) for noise abatement trajectories.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation of aircraft departure trajectories

Zhang

Filippone

Bojdo

2018

Aerospace Science and Technology

View full text Add to dashboard Cite

A multi-objective trajectory optimisation has been developed to minimise multiple environmental impacts (noise and exhaust emissions) from commercial airplanes. Three different non-gradient algorithms are used. First, a parameterization method is established for airplane departure trajectories, with path constraints considered where necessary. Second, a method to parameterize movement in the lateral plane based on a Bézier curve has been proposed to decrease the number of free parameters. The environmental impacts on target areas have been simulated by a comprehensive flight mechanics program. Finally, two posterior selection strategies based on preference function and monetisation approaches are used to evaluate the resulting Pareto solution set. A case study for a departure of an Airbus A320-211 with population distribution of residential communities around Manchester Airport (ICAO code: EGCC) is carried out with three different optimisers. We demonstrate that this simulation framework is able to solve trajectory optimisation problems with multiple simultaneous environmental objectives.

show abstract

“…As far as airports are concerned, the PSZs represent an important constraint on the territory to be considered in the land-use planning as is the case of environmental impact studies (e.g., aircraft noise and pollution [12,13]).…”

Section: Introductionmentioning

confidence: 99%

The Public Safety Zones around Small and Medium Airports

Mascio

Perta²,

Cantisani

et al. 2018

Aerospace

View full text Add to dashboard Cite

Proper planning around airports safeguards the surrounding territory from risks of air accidents. Many countries have defined Public Safety Zones (PSZs) beyond the runway thresholds as a result of targeted risk assessment methods. Therefore, national aviation Authorities could limit building construction and industrial development in order to contain the risk for dwellers to be involved in aircraft accidents. The number of people who live, work or congregate in these areas should be limited. The procedure to set Public Safety Zones is based on advanced technical analyses for major infrastructures. For smaller airports, simplified schemes are used, but, sometimes, they are not as effective when considering the actual safety conditions. This article aims to identify the shape and size of the Public Safety Zones for small and medium one-runway airports. The influence of the volume and mix of traffic on the PSZ geometry has been evaluated using the program named SARA (Sapienza Airport Risk Analysis); the results are correlated with the current Risk Plans generally adopted in Italy. According to the air traffic, the Risk Plans are characterized by a dynamic definition and fit the results obtained from risk assessment.

show abstract

An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories

Cited by 23 publications

References 28 publications

An optimization framework for route design and allocation of aircraft to multiple departure routes

An optimization framework for route design and allocation of aircraft to multiple departure routes

Multi-objective optimisation of aircraft departure trajectories

The Public Safety Zones around Small and Medium Airports

Contact Info

Product

Resources

About