Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks
Reasonable deployment of connected and automated vehicle (CAV) lanes which separating the heterogeneous traffic flow consisting of both CAVs and human-driven vehicles (HVs) can not only improve traffic safety but also greatly improve the overall roadway efficiency. This paper simplified CAV lane dep...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/9401062 |
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| _version_ | 1832566160879517696 |
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| author | Zhibo Gao Zhizhou Wu Wei Hao Kejun Long |
| author_facet | Zhibo Gao Zhizhou Wu Wei Hao Kejun Long |
| author_sort | Zhibo Gao |
| collection | DOAJ |
| description | Reasonable deployment of connected and automated vehicle (CAV) lanes which separating the heterogeneous traffic flow consisting of both CAVs and human-driven vehicles (HVs) can not only improve traffic safety but also greatly improve the overall roadway efficiency. This paper simplified CAV lane deployment plan into the problem of traffic network design and proposed a comprehensive decision-making method for CAV lane deployment plan. Based on the traffic equilibrium theory, this method aims to reduce the travel cost of the traffic network and the management cost of CAV lanes using a bilevel primary-secondary programming model. In addition, the upper level is the decision-making scheme of the lane deployment, while the lower level is the traffic assignment model including CAV and HV modes based on the decision-making scheme of the upper level. After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. The case study shows that the proposed method obtained a feasible scheme for lane deployment considering from both the system travel cost and management cost of CAV lanes. In addition, a sensitivity analysis of the market penetration rate of CAVs, traffic demand, and the capacity of CAVLs further proves the applicability of this model, which can achieve better allocation of system resources and also improve the traffic efficiency. |
| format | Article |
| id | doaj-art-cc6a8a46fded4194a0d535fba2b2f251 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cc6a8a46fded4194a0d535fba2b2f2512025-02-03T01:05:05ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/94010629401062Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway NetworksZhibo Gao0Zhizhou Wu1Wei Hao2Kejun Long3The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaThe Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, ChinaSchool of Traffic & Transportation Engineering, Changsha University of Science &Technology, Changsha 410076, ChinaSchool of Traffic & Transportation Engineering, Changsha University of Science &Technology, Changsha 410076, ChinaReasonable deployment of connected and automated vehicle (CAV) lanes which separating the heterogeneous traffic flow consisting of both CAVs and human-driven vehicles (HVs) can not only improve traffic safety but also greatly improve the overall roadway efficiency. This paper simplified CAV lane deployment plan into the problem of traffic network design and proposed a comprehensive decision-making method for CAV lane deployment plan. Based on the traffic equilibrium theory, this method aims to reduce the travel cost of the traffic network and the management cost of CAV lanes using a bilevel primary-secondary programming model. In addition, the upper level is the decision-making scheme of the lane deployment, while the lower level is the traffic assignment model including CAV and HV modes based on the decision-making scheme of the upper level. After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. The case study shows that the proposed method obtained a feasible scheme for lane deployment considering from both the system travel cost and management cost of CAV lanes. In addition, a sensitivity analysis of the market penetration rate of CAVs, traffic demand, and the capacity of CAVLs further proves the applicability of this model, which can achieve better allocation of system resources and also improve the traffic efficiency.http://dx.doi.org/10.1155/2020/9401062 |
| spellingShingle | Zhibo Gao Zhizhou Wu Wei Hao Kejun Long Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks Journal of Advanced Transportation |
| title | Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks |
| title_full | Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks |
| title_fullStr | Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks |
| title_full_unstemmed | Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks |
| title_short | Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks |
| title_sort | deployment optimization of connected and automated vehicle lanes with the safety benefits on roadway networks |
| url | http://dx.doi.org/10.1155/2020/9401062 |
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