A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow
The complexity analysis of traffic flow is important for understanding the property of traffic system. Being good at analyzing the regularity and complexity, multiscale SamEn has attracted much attention and many methods have been proposed for complexity analysis of traffic flow. However, there may...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/8389229 |
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| _version_ | 1832565401653870592 |
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| author | Zhanyou Cui Gaoli Chen Bing Liu Deguang Li |
| author_facet | Zhanyou Cui Gaoli Chen Bing Liu Deguang Li |
| author_sort | Zhanyou Cui |
| collection | DOAJ |
| description | The complexity analysis of traffic flow is important for understanding the property of traffic system. Being good at analyzing the regularity and complexity, multiscale SamEn has attracted much attention and many methods have been proposed for complexity analysis of traffic flow. However, there may exist discontinuity of the calculated entropy value which makes the regularity of the traffic system difficult to understand. The phenomenon occurs due to an inappropriate selection of the parameter r in the multiscale SamEn. Moreover, it is difficult to select an appropriate r for the accurate evaluation of the complexity, which limits the application of multiscale entropy for traffic flow analysis. To solve this problem, a new entropy-based method, multiscale symbolic dynamic entropy, for evaluating the traffic system is proposed here. To verify the effectiveness of the proposed method, traffic data collected from stations in different cities are preprocessed by the proposed method. Both results of two cases show that the weekend patterns and weekday patterns are effectively distinguished using the proposed method, respectively. Specifically, compared with the traditional methods including multiscale SamEn and the multiscale modified SamEn, the complexity of the corresponding traffic system can be better evaluated without considering the selection of r, which demonstrates the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-b0d803ec903e4a4183dc0c57ba55f38c |
| 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-b0d803ec903e4a4183dc0c57ba55f38c2025-02-03T01:07:55ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/8389229A Multiscale Symbolic Dynamic Entropy Analysis of Traffic FlowZhanyou Cui0Gaoli Chen1Bing Liu2Deguang Li3College of Mechanical and Electrical EngineeringCollege of Mechanical and Electrical EngineeringHenan Forestry Vocational CollegeSchool of Information TechnologyThe complexity analysis of traffic flow is important for understanding the property of traffic system. Being good at analyzing the regularity and complexity, multiscale SamEn has attracted much attention and many methods have been proposed for complexity analysis of traffic flow. However, there may exist discontinuity of the calculated entropy value which makes the regularity of the traffic system difficult to understand. The phenomenon occurs due to an inappropriate selection of the parameter r in the multiscale SamEn. Moreover, it is difficult to select an appropriate r for the accurate evaluation of the complexity, which limits the application of multiscale entropy for traffic flow analysis. To solve this problem, a new entropy-based method, multiscale symbolic dynamic entropy, for evaluating the traffic system is proposed here. To verify the effectiveness of the proposed method, traffic data collected from stations in different cities are preprocessed by the proposed method. Both results of two cases show that the weekend patterns and weekday patterns are effectively distinguished using the proposed method, respectively. Specifically, compared with the traditional methods including multiscale SamEn and the multiscale modified SamEn, the complexity of the corresponding traffic system can be better evaluated without considering the selection of r, which demonstrates the effectiveness of the proposed method.http://dx.doi.org/10.1155/2022/8389229 |
| spellingShingle | Zhanyou Cui Gaoli Chen Bing Liu Deguang Li A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow Journal of Advanced Transportation |
| title | A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow |
| title_full | A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow |
| title_fullStr | A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow |
| title_full_unstemmed | A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow |
| title_short | A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow |
| title_sort | multiscale symbolic dynamic entropy analysis of traffic flow |
| url | http://dx.doi.org/10.1155/2022/8389229 |
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