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

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

doi:10.1016/j.trd.2019.10.003

Cited by 16 publications

(10 citation statements)

References 34 publications

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“…Azadeh et al developed a two-stage optimization algorithm to determine conflict free routes aiming for minimum flight time for flights to be performed as Visual Flight Rules (Azadeh et al, 2019). Ho-Huu et al developed an optimization process for the design and assignment of departure routes (Ho-Huu et al, 2019). In another study, Ho-Huu et al conducted an optimization study which used a multiobjective evolutionary algorithm based on decomposition for noise reduction in terminal routes (Ho-Huu et al, 2017).…”

Section: Literature Review and Motivationmentioning

confidence: 99%

“…Pejovic et al studied the cross border implementation impacts of the free route airspace on safety performance (Pejovic et al , 2019). Gerdes et al studies to create a dynamic main flow system from free route airspace to decrease the potential conflict points and hence makes the controller decision-making process easier (Gerdes et al , 2020). Rosenow and Fricke studied on a trajectory calculation model for exploiting four dimensional free route optimization (Rosenow and Fricke, 2019).…”

Section: Literature Review and Motivationmentioning

confidence: 99%

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Aircraft route optimization with simulated annealing for a mixed airspace composed of free and fixed route structures

Aydoğan

Çetek²

2022

AEAT

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Purpose The purpose of this paper is to create a flight route optimization for all flights that aims to minimize the total cost consists of fuel cost, ground delay cost and air delay cost over the fixed route and free route airspaces. Design/methodology/approach Efficient usage of current available airspace capacity becomes more and more important with the increasing flight demands. The efficient capacity usage of an airspace is generally in contradiction to optimum flight efficiency of a single flight. It can only be achieved with the holistic approach that focusing all flights over mixed airspaces and their routes instead of single flight route optimization for a single airspace. In the scope of this paper, optimization methods were developed to find the best route planning for all flights considering the benefits of all flights not only a single flight. This paper is searching for an optimization to reduce the total cost for all flights in mixed airspaces. With the developed optimization models, the determination of conflict-free optimum routes and delay amounts was achieved with airway capacity and separation minimum constraints in mixed airspaces. The mathematical model and the simulated annealing method were developed for these purposes. Findings The total cost values for flights were minimized by both developed mathematical model and simulated annealing algorithm. With the mathematical model, a reduction in total route length of 4.13% and a reduction in fuel consumption of 3.95% was achieved in a mixed airspace. The optimization algorithm with simulated annealing has also 3.11% flight distance saving and 3.03% fuel consumption enhancement. Research limitations/implications Although the wind condition can change the fuel consumption and flight durations, the paper does not include the wind condition effects. If the wind condition effect is considered, the shortest route may not always cause the least fuel consumption especially under the head wind condition. Practical implications The results of this paper show that a flight route optimization as a holistic approach considering the all flight demand information enhances the fuel consumption and flight duration. Because of this reason, the developed optimization model can be effectively used to minimize the fuel consumption and reduce the exhaust emissions of aircraft. Originality/value This paper develops the mathematical model and simulated annealing algorithm for the optimization of flight route over the mixed airspaces that compose of fixed and free route airspaces. Each model offers the best available and conflict-free route plan and if necessary required delay amounts for each demanded flight under the airspace capacity, airspace route structure and used separation minimum for each airspace.

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Section: Literature Review and Motivationmentioning

confidence: 99%

Section: Literature Review and Motivationmentioning

confidence: 99%

Aircraft route optimization with simulated annealing for a mixed airspace composed of free and fixed route structures

Aydoğan

Çetek²

2022

AEAT

View full text Add to dashboard Cite

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“…In terms of departure trajectory optimization, Ho-Huu et al established a multiobjective model considering fuel consumption and noise factors and designed a solution algorithm to obtain the optimal trajectory [3,4]. Visser et al [5,6] developed a tool for reducing aircraft takeoff noise based on noise model, geographic information system, and dynamic trajectory optimization algorithm and used B737-300 aircraft in Amsterdam Airport Schiphol has been verified, and a multistage/criterion trajectory optimization framework is proposed for urban to city missions, so that the aircraft can reduce noise and pollutant emissions as much as possible.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

Liu

et al. 2021

Journal of Advanced Transportation

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Trajectory-based operation is a new technology that will be developed in the next generation of air traffic management. In order to clarify the optimization space of fuel consumption and emission impact on the environment under the specific operation limitation of air traffic management in the process of aircraft climb, an aircraft climb performance parameter optimization model considering the environmental impact is established. First, the horizontal and vertical climb models are established for the aircraft climb process, and then the optimization objectives are constructed by considering the impact of fuel consumption, exhaust emissions on air temperature, and the convenience of the flight process. Finally, the multiobjective model is solved by genetic algorithm. The B737-800 civil aviation aircraft is selected for simulation experiment to analyze the impact of speed change on the optimization target. The results show that with the change of speed, the fuel consumption and temperature rise are different, and the climb performance parameters of the aircraft are affected by the maximum RTA. By optimizing the flight parameters of the aircraft, it can effectively reduce the impact of flight on the environment and provide theoretical support for the sustainable development of civil aviation.

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“…erefore, the research on the climbing stage of aircraft can clarify the mechanism of influence on aircraft climbing performance and provide theoretical support for optimizing aircraft fuel efficiency and improving environmental friendliness. In terms of departure trajectory optimization, Ho-Huu et al [1] introduced a two-stage optimization framework to deal with the optimization and selection of aircraft departure trajectories as well as the flight allocation among these routes, so as to minimize the accumulated noise and fuel consumption. Visser et al [2] developed an airport abatement tool for aircraft take-off noise based on noise models, geographic information systems, and dynamic trajectory optimization algorithms and validated it at Amsterdam Airport Schiphol using B737-300 aircraft.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints

Wan

Zhang

Liu

et al. 2020

Journal of Advanced Transportation

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In order to realize the concept of air traffic sustainable operation, taking the aircraft climbing stage as an example, firstly, we establish the vertical trajectory model of aircraft climbing, analyze the change rule of aircraft performance parameters under different indicated airspeed, and establish the RTA and RHA constraint models according to the waypoint constraints. Then, considering the fuel economy and the greenhouse effect of pollutant emission, we establish a multiobjective model of aircraft flight parameter optimization, and, based on the multiobjective genetic algorithm, we establish an optimization model. Finally, we use B737-800 aircraft to carry out simulation experiments and find that, with the change of speed, fuel consumption and warming trend are different, and “objective weight, aircraft mass, flight distance, RTA time window, and wind” have different effects on the optimization results. The results show that this optimization method has a good compromise between fuel consumption and greenhouse effect by changing the weighting factor. By optimizing the flight parameters of the aircraft, it can effectively reduce the impact on the environment and provide theoretical support for the green flight of the aircraft.

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

Cited by 16 publications

References 34 publications

Aircraft route optimization with simulated annealing for a mixed airspace composed of free and fixed route structures

Aircraft route optimization with simulated annealing for a mixed airspace composed of free and fixed route structures

Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints

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