Integrated design and allocation of optimal aircraft departure routes

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

doi:10.1016/j.trd.2018.07.006

Cited by 18 publications

(10 citation statements)

References 26 publications

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“…In the era of big data, the big data of available route status can reflect comprehensive and sufficient available route knowledge and information, especially the real-time natural environment and man-made environmental states of route, as the weather and climate change of some routes are impermanent while some routes may threaten the safety of aircraft due to war and other reasons. The establishment of big data and its information system of historical and realistic routes and their environmental change can provide timely information for the flight of aircraft to ensure the flying safety of aircraft (Ho-Huu et al, 2018).…”

Section: Big Data In Macro Aviation Managementmentioning

confidence: 99%

Big data and smart aviation information management system

Dou

2020

Cogent Business & Management

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Section: Big Data In Macro Aviation Managementmentioning

confidence: 99%

Big data and smart aviation information management system

Dou

2020

Cogent Business & Management

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“…In addition to the two conventional objectives of noise and fuel consumption, a new objective of aircraft flight frequency is introduced and solved by MOEA/D optimization algorithm. Finally, the reliability and applicability of the model are verified by an example [7].…”

Section: Introductionmentioning

confidence: 95%

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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“…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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Integrated design and allocation of optimal aircraft departure routes

Cited by 18 publications

References 26 publications

Big data and smart aviation information management system

Big data and smart aviation information management system

Optimization of Aircraft Climb Trajectory considering Environmental Impact under RTA Constraints

Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

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