Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather
Thunderstorms are recognized as perilous meteorological phenomena characterized by irregular and nonlinear movement, posing significant risks to approaching aircraft and necessitating technical methods to ensure safety to the aviation operations. This research specifically addresses the challenges a...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/1614684 |
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| author | Li Lu Xin Lai |
| author_facet | Li Lu Xin Lai |
| author_sort | Li Lu |
| collection | DOAJ |
| description | Thunderstorms are recognized as perilous meteorological phenomena characterized by irregular and nonlinear movement, posing significant risks to approaching aircraft and necessitating technical methods to ensure safety to the aviation operations. This research specifically addresses the challenges associated with aircraft during the approach segment and introduces a multialgorithmic model focusing on the optimization of 4D approach trajectory. Firstly, the artificial neural network intelligent model was used to predict the thunderstorm movement track. Secondly, the multialgorithmic model combined by the rapidly exploring random tree with artificial potential field was built to plan the trajectory of the approaching aircraft under thunderstorm weather, and then, the mean filter was adopted to smooth the simulated approaching trajectory. Finally, the reliability of the model with a real case study was demonstrated. After optimized simulation by predicting the thunderstorm weather and trajectory-optimized multialgorithmic model mentioned above, the approach trajectory can be outputted successfully, but with some distortions, postprocessing with the mean filter results in a remarkably smooth approach trajectory, providing enhanced feasibility and efficiency for pilots navigating through thunderstorm weather conditions. It is ultimately proved that refined 4D trajectory operations under hazardous weather conditions hold substantial significance in advancing aviation safety and operational effectiveness. |
| format | Article |
| id | doaj-art-c5dfdaf47e0b4a0c9eb8dcd1c922d867 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-c5dfdaf47e0b4a0c9eb8dcd1c922d8672025-02-03T01:29:40ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/2024/1614684Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm WeatherLi Lu0Xin Lai1School of Air Traffic ManagementSchool of Air Traffic ManagementThunderstorms are recognized as perilous meteorological phenomena characterized by irregular and nonlinear movement, posing significant risks to approaching aircraft and necessitating technical methods to ensure safety to the aviation operations. This research specifically addresses the challenges associated with aircraft during the approach segment and introduces a multialgorithmic model focusing on the optimization of 4D approach trajectory. Firstly, the artificial neural network intelligent model was used to predict the thunderstorm movement track. Secondly, the multialgorithmic model combined by the rapidly exploring random tree with artificial potential field was built to plan the trajectory of the approaching aircraft under thunderstorm weather, and then, the mean filter was adopted to smooth the simulated approaching trajectory. Finally, the reliability of the model with a real case study was demonstrated. After optimized simulation by predicting the thunderstorm weather and trajectory-optimized multialgorithmic model mentioned above, the approach trajectory can be outputted successfully, but with some distortions, postprocessing with the mean filter results in a remarkably smooth approach trajectory, providing enhanced feasibility and efficiency for pilots navigating through thunderstorm weather conditions. It is ultimately proved that refined 4D trajectory operations under hazardous weather conditions hold substantial significance in advancing aviation safety and operational effectiveness.http://dx.doi.org/10.1155/2024/1614684 |
| spellingShingle | Li Lu Xin Lai Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather International Journal of Aerospace Engineering |
| title | Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather |
| title_full | Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather |
| title_fullStr | Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather |
| title_full_unstemmed | Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather |
| title_short | Model of Multi-Algorithmic-Based Optimization of 4D Approach Trajectory under Thunderstorm Weather |
| title_sort | model of multi algorithmic based optimization of 4d approach trajectory under thunderstorm weather |
| url | http://dx.doi.org/10.1155/2024/1614684 |
| work_keys_str_mv | AT lilu modelofmultialgorithmicbasedoptimizationof4dapproachtrajectoryunderthunderstormweather AT xinlai modelofmultialgorithmicbasedoptimizationof4dapproachtrajectoryunderthunderstormweather |