Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure
Urban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In t...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/9965749 |
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| _version_ | 1832560016273440768 |
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| author | Li-li Zhang Li Wang Qi Zhao Fang Wang Yadongyang Zhu Ling-yu Zhang |
| author_facet | Li-li Zhang Li Wang Qi Zhao Fang Wang Yadongyang Zhu Ling-yu Zhang |
| author_sort | Li-li Zhang |
| collection | DOAJ |
| description | Urban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In this paper, we propose a novel model and method called ATCM, which is based on the advanced technology of cooperative vehicle infrastructure. In this paper, a novel active traffic control model (ATCM) is proposed, which is based on the advanced technology of cooperative vehicle infrastructure. ATCM increases the intersection control model variables from the traditional two dimensions to five dimensions. It reshapes intersection control from the perspective of road designers and managers, so it can achieve more flexible and efficient traffic control. To this end, a multivariable active traffic control model is constructed, which includes road speed, lane control, sequence, phase, and green light time; a D-double layer optimization method is designed for this model. The first part of this optimization method combines speed control and dynamic phase sequence control. The second part is realized by the combination of lane control and dynamic phase sequence control. By conducting comprehensive experiments, the results demonstrate that the proposed approach is more flexible and efficient than traditional methods. |
| format | Article |
| id | doaj-art-05f7f72add104d8a95e02cae5e125081 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-05f7f72add104d8a95e02cae5e1250812025-02-03T01:28:30ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/99657499965749Research on Urban Traffic Active Control in Cooperative Vehicle InfrastructureLi-li Zhang0Li Wang1Qi Zhao2Fang Wang3Yadongyang Zhu4Ling-yu Zhang5College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaBeijing Key Lab of Urban Intelligent Control Technology, North China University of Technology, Beijing 100144, ChinaBeijing Key Lab of Urban Intelligent Control Technology, North China University of Technology, Beijing 100144, ChinaCollege of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaCollege of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, ChinaBeijing Key Lab of Urban Intelligent Control Technology, North China University of Technology, Beijing 100144, ChinaUrban intersection control mainly undertakes two tasks: traffic safety and traffic efficiency. Traditional intersection control models and methods have been insufficient in improving traffic efficiency, which is composed of the increase in traffic demand and the complexity of demand at present. In this paper, we propose a novel model and method called ATCM, which is based on the advanced technology of cooperative vehicle infrastructure. In this paper, a novel active traffic control model (ATCM) is proposed, which is based on the advanced technology of cooperative vehicle infrastructure. ATCM increases the intersection control model variables from the traditional two dimensions to five dimensions. It reshapes intersection control from the perspective of road designers and managers, so it can achieve more flexible and efficient traffic control. To this end, a multivariable active traffic control model is constructed, which includes road speed, lane control, sequence, phase, and green light time; a D-double layer optimization method is designed for this model. The first part of this optimization method combines speed control and dynamic phase sequence control. The second part is realized by the combination of lane control and dynamic phase sequence control. By conducting comprehensive experiments, the results demonstrate that the proposed approach is more flexible and efficient than traditional methods.http://dx.doi.org/10.1155/2021/9965749 |
| spellingShingle | Li-li Zhang Li Wang Qi Zhao Fang Wang Yadongyang Zhu Ling-yu Zhang Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure Journal of Advanced Transportation |
| title | Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure |
| title_full | Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure |
| title_fullStr | Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure |
| title_full_unstemmed | Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure |
| title_short | Research on Urban Traffic Active Control in Cooperative Vehicle Infrastructure |
| title_sort | research on urban traffic active control in cooperative vehicle infrastructure |
| url | http://dx.doi.org/10.1155/2021/9965749 |
| work_keys_str_mv | AT lilizhang researchonurbantrafficactivecontrolincooperativevehicleinfrastructure AT liwang researchonurbantrafficactivecontrolincooperativevehicleinfrastructure AT qizhao researchonurbantrafficactivecontrolincooperativevehicleinfrastructure AT fangwang researchonurbantrafficactivecontrolincooperativevehicleinfrastructure AT yadongyangzhu researchonurbantrafficactivecontrolincooperativevehicleinfrastructure AT lingyuzhang researchonurbantrafficactivecontrolincooperativevehicleinfrastructure |