Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles
Abstract The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-11-01
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| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-024-01118-1 |
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| _version_ | 1846158774539124736 |
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| author | Qing Xu Chaoyi Chen Xueyang Chang Dongpu Cao Mengchi Cai Jiawei Wang Keqiang Li Jianqiang Wang |
| author_facet | Qing Xu Chaoyi Chen Xueyang Chang Dongpu Cao Mengchi Cai Jiawei Wang Keqiang Li Jianqiang Wang |
| author_sort | Qing Xu |
| collection | DOAJ |
| description | Abstract The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitly included in the proposed traffic network model, and the vehicle number non-conservation problem is overcome by describing the approaching and departure vehicle number in discrete time. The proposed model is verified in typical CAV cooperation scenarios. The performance of CAV coordination is analyzed in road, intersection and network scenario. Total travel time of the vehicles in the network is proved to be reduced when coordination is applied. Simulation results validate the accuracy of the proposed model and the effectiveness of the proposed algorithm. |
| format | Article |
| id | doaj-art-dfd38f0fb7bc485192128c63ff2e2980 |
| institution | Kabale University |
| issn | 2192-8258 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Chinese Journal of Mechanical Engineering |
| spelling | doaj-art-dfd38f0fb7bc485192128c63ff2e29802024-11-24T12:14:06ZengSpringerOpenChinese Journal of Mechanical Engineering2192-82582024-11-0137111310.1186/s10033-024-01118-1Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous VehiclesQing Xu0Chaoyi Chen1Xueyang Chang2Dongpu Cao3Mengchi Cai4Jiawei Wang5Keqiang Li6Jianqiang Wang7School of Vehicle and Mobility, Tsinghua UniversitySchool of Vehicle and Mobility, Tsinghua UniversityTsingcloud Co., Ltd.State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua UniversitySchool of Vehicle and Mobility, Tsinghua UniversitySchool of Vehicle and Mobility, Tsinghua UniversitySchool of Vehicle and Mobility, Tsinghua UniversitySchool of Vehicle and Mobility, Tsinghua UniversityAbstract The emergence of connected and automated vehicles (CAV) indicates improved traffic mobility in future traffic transportation systems. This study addresses the research gap in macroscopic traffic modeling of mixed traffic networks where CAV and human-driven vehicles coexist. CAV behavior is explicitly included in the proposed traffic network model, and the vehicle number non-conservation problem is overcome by describing the approaching and departure vehicle number in discrete time. The proposed model is verified in typical CAV cooperation scenarios. The performance of CAV coordination is analyzed in road, intersection and network scenario. Total travel time of the vehicles in the network is proved to be reduced when coordination is applied. Simulation results validate the accuracy of the proposed model and the effectiveness of the proposed algorithm.https://doi.org/10.1186/s10033-024-01118-1Macroscopic traffic modelConnected and automated vehicleTraffic Coordination |
| spellingShingle | Qing Xu Chaoyi Chen Xueyang Chang Dongpu Cao Mengchi Cai Jiawei Wang Keqiang Li Jianqiang Wang Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles Chinese Journal of Mechanical Engineering Macroscopic traffic model Connected and automated vehicle Traffic Coordination |
| title | Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles |
| title_full | Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles |
| title_fullStr | Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles |
| title_full_unstemmed | Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles |
| title_short | Modeling and Analysis of Mixed Traffic Networks with Human-Driven and Autonomous Vehicles |
| title_sort | modeling and analysis of mixed traffic networks with human driven and autonomous vehicles |
| topic | Macroscopic traffic model Connected and automated vehicle Traffic Coordination |
| url | https://doi.org/10.1186/s10033-024-01118-1 |
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