A review of prediction methods for moving target trajectories
With the rapid emergence of mobile terminal equipment in intelligent transportation system, the deep understanding and accurate prediction of moving target trajectories are capable of reducing the traffic accident probability, and promoting the location service-based intelligent transportation appli...
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| Format: | Article |
| Language: | zho |
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POSTS&TELECOM PRESS Co., LTD
2021-06-01
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| Series: | 智能科学与技术学报 |
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| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202115 |
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| _version_ | 1846171089124720640 |
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| author | Wen LIU Kunlin HU Yan LI Zhao LIU |
| author_facet | Wen LIU Kunlin HU Yan LI Zhao LIU |
| author_sort | Wen LIU |
| collection | DOAJ |
| description | With the rapid emergence of mobile terminal equipment in intelligent transportation system, the deep understanding and accurate prediction of moving target trajectories are capable of reducing the traffic accident probability, and promoting the location service-based intelligent transportation applications.The trajectory prediction methods prediction methods for moving target trajectories were reviewed from the data-driven prediction methods and the behavior-driven trajectories prediction methods.Firstly, the data-driven prediction methods were reviewed, including probabilistic statistics, neural networks, deep learning, and hybrid modeling.Then, the basic conceptions of target behavior-driven trajectories prediction methods were analyzed.The corresponding dynamical modeling and intention recognition methods were reviewed.The trajectory prediction applications were briefly analyzed and reviewed, such as target trajectory reconstruction, target abnormal behavior identification, and navigation route planning.Finally, the main problems and development directions related to prediction of moving target trajectories were discussed. |
| format | Article |
| id | doaj-art-0037087e5ea744c2bce5dccade7de504 |
| institution | Kabale University |
| issn | 2096-6652 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 智能科学与技术学报 |
| spelling | doaj-art-0037087e5ea744c2bce5dccade7de5042024-11-11T06:52:36ZzhoPOSTS&TELECOM PRESS Co., LTD智能科学与技术学报2096-66522021-06-01314916059639570A review of prediction methods for moving target trajectoriesWen LIUKunlin HUYan LIZhao LIUWith the rapid emergence of mobile terminal equipment in intelligent transportation system, the deep understanding and accurate prediction of moving target trajectories are capable of reducing the traffic accident probability, and promoting the location service-based intelligent transportation applications.The trajectory prediction methods prediction methods for moving target trajectories were reviewed from the data-driven prediction methods and the behavior-driven trajectories prediction methods.Firstly, the data-driven prediction methods were reviewed, including probabilistic statistics, neural networks, deep learning, and hybrid modeling.Then, the basic conceptions of target behavior-driven trajectories prediction methods were analyzed.The corresponding dynamical modeling and intention recognition methods were reviewed.The trajectory prediction applications were briefly analyzed and reviewed, such as target trajectory reconstruction, target abnormal behavior identification, and navigation route planning.Finally, the main problems and development directions related to prediction of moving target trajectories were discussed.http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202115intelligent transportation system;trajectory prediction;artificial intelligence;deep learning;dynamic model |
| spellingShingle | Wen LIU Kunlin HU Yan LI Zhao LIU A review of prediction methods for moving target trajectories 智能科学与技术学报 intelligent transportation system;trajectory prediction;artificial intelligence;deep learning;dynamic model |
| title | A review of prediction methods for moving target trajectories |
| title_full | A review of prediction methods for moving target trajectories |
| title_fullStr | A review of prediction methods for moving target trajectories |
| title_full_unstemmed | A review of prediction methods for moving target trajectories |
| title_short | A review of prediction methods for moving target trajectories |
| title_sort | review of prediction methods for moving target trajectories |
| topic | intelligent transportation system;trajectory prediction;artificial intelligence;deep learning;dynamic model |
| url | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202115 |
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