Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering
Terminal-area aircraft intent inference (T-AII) is a prerequisite to detect and avoid potential aircraft conflict in the terminal airspace. T-AII challenges the state-of-the-art AII approaches due to the uncertainties of air traffic situation, in particular due to the undefined flight routes and fre...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/671360 |
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| _version_ | 1832566655635423232 |
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| author | Yang Yang Jun Zhang Kai-quan Cai |
| author_facet | Yang Yang Jun Zhang Kai-quan Cai |
| author_sort | Yang Yang |
| collection | DOAJ |
| description | Terminal-area aircraft intent inference (T-AII) is a prerequisite to detect and avoid potential aircraft conflict in the terminal airspace. T-AII challenges the state-of-the-art AII approaches due to the uncertainties of air traffic situation, in particular due to the undefined flight routes and frequent maneuvers. In this paper, a novel T-AII approach is introduced to address the limitations by solving the problem with two steps that are intent modeling and intent inference. In the modeling step, an online trajectory clustering procedure is designed for recognizing the real-time available routes in replacing of the missed plan routes. In the inference step, we then present a probabilistic T-AII approach based on the multiple flight attributes to improve the inference performance in maneuvering scenarios. The proposed approach is validated with real radar trajectory and flight attributes data of 34 days collected from Chengdu terminal area in China. Preliminary results show the efficacy of the presented approach. |
| format | Article |
| id | doaj-art-f882ec8366ed4e9bb9870b4d33bb0a74 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f882ec8366ed4e9bb9870b4d33bb0a742025-02-03T01:03:35ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/671360671360Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory ClusteringYang Yang0Jun Zhang1Kai-quan Cai2School of Electronic and Information Engineering, Beihang University, Xueyuan Road No. 37, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Xueyuan Road No. 37, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Xueyuan Road No. 37, Beijing 100191, ChinaTerminal-area aircraft intent inference (T-AII) is a prerequisite to detect and avoid potential aircraft conflict in the terminal airspace. T-AII challenges the state-of-the-art AII approaches due to the uncertainties of air traffic situation, in particular due to the undefined flight routes and frequent maneuvers. In this paper, a novel T-AII approach is introduced to address the limitations by solving the problem with two steps that are intent modeling and intent inference. In the modeling step, an online trajectory clustering procedure is designed for recognizing the real-time available routes in replacing of the missed plan routes. In the inference step, we then present a probabilistic T-AII approach based on the multiple flight attributes to improve the inference performance in maneuvering scenarios. The proposed approach is validated with real radar trajectory and flight attributes data of 34 days collected from Chengdu terminal area in China. Preliminary results show the efficacy of the presented approach.http://dx.doi.org/10.1155/2015/671360 |
| spellingShingle | Yang Yang Jun Zhang Kai-quan Cai Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering The Scientific World Journal |
| title | Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering |
| title_full | Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering |
| title_fullStr | Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering |
| title_full_unstemmed | Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering |
| title_short | Terminal-Area Aircraft Intent Inference Approach Based on Online Trajectory Clustering |
| title_sort | terminal area aircraft intent inference approach based on online trajectory clustering |
| url | http://dx.doi.org/10.1155/2015/671360 |
| work_keys_str_mv | AT yangyang terminalareaaircraftintentinferenceapproachbasedononlinetrajectoryclustering AT junzhang terminalareaaircraftintentinferenceapproachbasedononlinetrajectoryclustering AT kaiquancai terminalareaaircraftintentinferenceapproachbasedononlinetrajectoryclustering |