Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model
To adapt to the intelligent management of traffic flow in modern aviation, this study improves the algorithm according to the data exercise method and establishes the mathematical model and vector model of intelligent motion coordinates. Moreover, according to the simulation test method, this study...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/3628798 |
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| _version_ | 1832564918234120192 |
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| author | Junhao Liu Qing Cheng Yuanji Wang Changqi Yang Rui Zhou Xinping Zhu Di Yao Junjie Zhou Yaqian Du Shanshan Yang |
| author_facet | Junhao Liu Qing Cheng Yuanji Wang Changqi Yang Rui Zhou Xinping Zhu Di Yao Junjie Zhou Yaqian Du Shanshan Yang |
| author_sort | Junhao Liu |
| collection | DOAJ |
| description | To adapt to the intelligent management of traffic flow in modern aviation, this study improves the algorithm according to the data exercise method and establishes the mathematical model and vector model of intelligent motion coordinates. Moreover, according to the simulation test method, this study analyzes the six-degree-of-freedom equation of motion in the coordinate system of the civil aviation aircraft and uses the simulation method to regard the civil aviation as a rigid body with a certain mass and mass distribution. In addition, this study builds an intelligent model based on the demand analysis, and according to the actual demand, this study combines the simulation method to analyze the structure of the intelligent management model of air traffic flow. Finally, this study uses the experimental analysis method to verify the effect of the model proposed in this study and combines the experimental research to verify that the model proposed in this study has a certain effect. |
| format | Article |
| id | doaj-art-d89d0014662c4554bf6b2976d9907e8a |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-d89d0014662c4554bf6b2976d9907e8a2025-02-03T01:09:52ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/3628798Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data ModelJunhao Liu0Qing Cheng1Yuanji Wang2Changqi Yang3Rui Zhou4Xinping Zhu5Di Yao6Junjie Zhou7Yaqian Du8Shanshan Yang9School of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementSchool of Air Traffic ManagementTo adapt to the intelligent management of traffic flow in modern aviation, this study improves the algorithm according to the data exercise method and establishes the mathematical model and vector model of intelligent motion coordinates. Moreover, according to the simulation test method, this study analyzes the six-degree-of-freedom equation of motion in the coordinate system of the civil aviation aircraft and uses the simulation method to regard the civil aviation as a rigid body with a certain mass and mass distribution. In addition, this study builds an intelligent model based on the demand analysis, and according to the actual demand, this study combines the simulation method to analyze the structure of the intelligent management model of air traffic flow. Finally, this study uses the experimental analysis method to verify the effect of the model proposed in this study and combines the experimental research to verify that the model proposed in this study has a certain effect.http://dx.doi.org/10.1155/2022/3628798 |
| spellingShingle | Junhao Liu Qing Cheng Yuanji Wang Changqi Yang Rui Zhou Xinping Zhu Di Yao Junjie Zhou Yaqian Du Shanshan Yang Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model Journal of Advanced Transportation |
| title | Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model |
| title_full | Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model |
| title_fullStr | Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model |
| title_full_unstemmed | Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model |
| title_short | Intelligent Management of Air Traffic Flow Based on Intelligent Motion Coordinate Data Model |
| title_sort | intelligent management of air traffic flow based on intelligent motion coordinate data model |
| url | http://dx.doi.org/10.1155/2022/3628798 |
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