Individual Commute Time Recognition Based on the Hierarchical Semantic Model
Individual commute time recognition is essential for traffic demand management. However, this problem has yet to be studied. In this study, we propose a hierarchical semantic model (HSM) to recognize individual commute time. To the best of our knowledge, this work is the first to integrates large sc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9177103/ |
| _version_ | 1818727480023842816 |
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| author | Wei Liu Tao Wenxuan Zhong Ziming Jianqin Yin |
| author_facet | Wei Liu Tao Wenxuan Zhong Ziming Jianqin Yin |
| author_sort | Wei Liu |
| collection | DOAJ |
| description | Individual commute time recognition is essential for traffic demand management. However, this problem has yet to be studied. In this study, we propose a hierarchical semantic model (HSM) to recognize individual commute time. To the best of our knowledge, this work is the first to integrates large scale travellers commute time prediction at an individual level. HSM consists of a low and a high semantic layer. The low semantic layer models spatial, temporal and environmental information, whereas the high semantic layer recognises commute time using the hidden Markov model on the basis of the low semantic layer outputs. Experimental results demonstrate the effectiveness of our proposed model for individual commute time recognition. |
| first_indexed | 2024-12-17T22:14:46Z |
| format | Article |
| id | doaj.art-cce22c4edfa74d5eb523212e550a7845 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T22:14:46Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cce22c4edfa74d5eb523212e550a78452022-12-21T21:30:39ZengIEEEIEEE Access2169-35362020-01-01815703715704910.1109/ACCESS.2020.30192539177103Individual Commute Time Recognition Based on the Hierarchical Semantic ModelWei Liu0https://orcid.org/0000-0002-7326-2912Tao Wenxuan1https://orcid.org/0000-0002-7990-6029Zhong Ziming2Jianqin Yin3https://orcid.org/0000-0002-1595-2499Automation School, Beijing University of Posts and Telecommunications, Beijing, ChinaAutomation School, Beijing University of Posts and Telecommunications, Beijing, ChinaAutomation School, Beijing University of Posts and Telecommunications, Beijing, ChinaAutomation School, Beijing University of Posts and Telecommunications, Beijing, ChinaIndividual commute time recognition is essential for traffic demand management. However, this problem has yet to be studied. In this study, we propose a hierarchical semantic model (HSM) to recognize individual commute time. To the best of our knowledge, this work is the first to integrates large scale travellers commute time prediction at an individual level. HSM consists of a low and a high semantic layer. The low semantic layer models spatial, temporal and environmental information, whereas the high semantic layer recognises commute time using the hidden Markov model on the basis of the low semantic layer outputs. Experimental results demonstrate the effectiveness of our proposed model for individual commute time recognition.https://ieeexplore.ieee.org/document/9177103/Commute time recognitionhierarchical semantic modeltraffic demand management |
| spellingShingle | Wei Liu Tao Wenxuan Zhong Ziming Jianqin Yin Individual Commute Time Recognition Based on the Hierarchical Semantic Model IEEE Access Commute time recognition hierarchical semantic model traffic demand management |
| title | Individual Commute Time Recognition Based on the Hierarchical Semantic Model |
| title_full | Individual Commute Time Recognition Based on the Hierarchical Semantic Model |
| title_fullStr | Individual Commute Time Recognition Based on the Hierarchical Semantic Model |
| title_full_unstemmed | Individual Commute Time Recognition Based on the Hierarchical Semantic Model |
| title_short | Individual Commute Time Recognition Based on the Hierarchical Semantic Model |
| title_sort | individual commute time recognition based on the hierarchical semantic model |
| topic | Commute time recognition hierarchical semantic model traffic demand management |
| url | https://ieeexplore.ieee.org/document/9177103/ |
| work_keys_str_mv | AT weiliu individualcommutetimerecognitionbasedonthehierarchicalsemanticmodel AT taowenxuan individualcommutetimerecognitionbasedonthehierarchicalsemanticmodel AT zhongziming individualcommutetimerecognitionbasedonthehierarchicalsemanticmodel AT jianqinyin individualcommutetimerecognitionbasedonthehierarchicalsemanticmodel |