Aircraft Trajectory Prediction Based on Genetic Programming

Zhang, Caikun; Zhang, Xuan; Chuan, Shi; Liu, Wenfu

doi:10.1109/icisce.2016.44

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…In addition to the two commonly used methods of regression model and neural network, other machine learning methods have also appeared [73][74][75][76][77][78][79], such as genetic algorithm (GA), ant colony algorithm, and support vector machine (SVM), etc. Here, this is regarded as a separate category.…”

Section: Other Methodsmentioning

confidence: 99%

“…Linear regression: [41,59,60] Stepwise regression: [57] Nonlinear regression: [41,58] Neural network model Feedforward neural networks: [61,70,75,84] Elman neural network: [78] LSTM: [62][63][64][65]67,71,72] DNN + LSTM: [40] CNN + LSTM: [66] GRU: [79] Bayesian neural network: [40,69] Generative adversarial network: [68] Other methods A gaussian mixture model with clustering: [82] Random forest with clustering: [83] Neural Networks with clustering: [8] Nonparametric interval prediction: [73] Genetic programming: [76]…”

Section: Regression Modelmentioning

confidence: 99%

See 1 more Smart Citation

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Zeng

Chu

et al. 2022

Aerospace

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Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory prediction is a key technology for existing automation systems and the basis for future trajectory-based operations. This paper firstly summarizes the background and significance of the trajectory prediction problems and then introduces the definition and basic process of trajectory prediction, including four modules: preparation, prediction, update, and output. In addition, the trajectory prediction methods are summarized into three types: the state estimation model, the Kinetic model, and the machine learning model, and in-depth analysis of various models is carried out. Further, the relevant databases required for the study are introduced, including the aircraft performance database, aircraft monitoring database, and meteorological database. Finally, challenges and future development directions of the current trajectory prediction problem are summarized.

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Section: Other Methodsmentioning

confidence: 99%

Section: Regression Modelmentioning

confidence: 99%

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Zeng

Chu

et al. 2022

Aerospace

View full text Add to dashboard Cite

show abstract

“…At the same time, it is continued to meet the comprehensive performance expectations, operational efficiency, cost-effectiveness, and environmental impact of various stakeholders for aviation operations [1]. Trajectory-based operation and performance-based air traffic management have become the key words of global air transport system reform [2]. rough the fine management of flight trajectory, it can solve the airspace operation constraints, optimize the allocation of airspace resources, and build a collaborative, efficient, and environmental protection flight operation state.…”

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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“…14 Trajectory prediction was used to track objects, which might be moving in high speed. 15 Certain sophisticated algorithms were introduced into trajectory prediction such as genetic programming, 16 clustering and artificial neural network (ANN), 17 and grey theory. 18 For the most challenging task of trajectory tracking and prediction of noncooperative target, a robust hybrid time/frequency domain algorithm was introduced based on vision system to implement the prediction.…”

Section: Introductionmentioning

confidence: 99%

Identification of pursued vehicles based on the guidance law recognition and line-of-sight analysis

Liu

Zhou

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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In a scenario where a formation of flight vehicles tries to avoid the interception of a pursuer vehicle, it is very important for the formation to identify which member is being pursued by the pursuer. This paper proposes an identification model, which incorporates guidance parameter confidence measures and line-of-sight correlations to determine the possibility of each member being pursued. With observation data between each member and the pursuer, the equivalent navigation ratio of the guidance law of the pursuer is estimated online. Then, the confidence measure of the navigation ratio estimated by each member is translated into the possibility of each member being pursued. Furthermore, coupling the estimation results of navigation ratio with the line-of-sight information between each member and the pursuer, the pursued vehicle can be identified from the members in the formation. Simulation results prove that under different conditions, the proposed method can accomplish the identification with acceptable accuracy.

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Aircraft Trajectory Prediction Based on Genetic Programming

Cited by 6 publications

References 6 publications

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Aircraft 4D Trajectory Prediction in Civil Aviation: A Review

Research on Optimization of Aircraft Climb Trajectory considering Environmental Impact

Identification of pursued vehicles based on the guidance law recognition and line-of-sight analysis

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