Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles
Connected and autonomous vehicles (CAVs) have become the highlights of traffic. Researchers in this field have proposed various traffic management measures to enhance the capacity and efficiency of traffic with CAVs, especially mixed traffic of CAVs and manual vehicles (MVs). Exclusive lane setting...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3968625 |
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| _version_ | 1850159902960386048 |
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| author | Xuedong Hua Weijie Yu Wei Wang Wenjie Xie |
| author_facet | Xuedong Hua Weijie Yu Wei Wang Wenjie Xie |
| author_sort | Xuedong Hua |
| collection | DOAJ |
| description | Connected and autonomous vehicles (CAVs) have become the highlights of traffic. Researchers in this field have proposed various traffic management measures to enhance the capacity and efficiency of traffic with CAVs, especially mixed traffic of CAVs and manual vehicles (MVs). Exclusive lane setting is included. However, exclusive lane policy-related researches for mixed traffic of CAVs and MVs were very limited, and the influence of number and location of exclusive lanes on the mixed traffic was unclear. To fill this gap, this paper aims to study the influence of different exclusive lane policies on mixed traffic and provide recommended lane policies under various traffic volumes and CAV penetration rates. Freeways with two lanes and three lanes in a single direction were taken into consideration, and sixteen lane policies were proposed. Then different lane policies were simulated with a new proposed cellular automata (CA) model, and properties including flux, average speed, and CAVs degradation were analyzed to evaluate the traffic efficiency of each lane policy. The results show that CAV exclusive lanes can improve the capacity, while MV exclusive lanes seem helpless for capacity improvement. Seven lane policies, including GC, GM, and CM for two-lane freeways and GCG, CGC, and CCM for three-lane freeways, outperform the others in terms of average speed. In addition, exclusive lanes can reduce the probability that CAVs degenerate to AVs. Our findings may help to optimize freeways’ lane policies and improve the efficiency of heterogeneous traffic mixed with CAVs and MVs. |
| format | Article |
| id | doaj-art-b216c30b71be4b37bbad83579f9c9d0f |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-b216c30b71be4b37bbad83579f9c9d0f2025-08-20T02:23:19ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/39686253968625Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous VehiclesXuedong Hua0Weijie Yu1Wei Wang2Wenjie Xie3Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaJiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, ChinaConnected and autonomous vehicles (CAVs) have become the highlights of traffic. Researchers in this field have proposed various traffic management measures to enhance the capacity and efficiency of traffic with CAVs, especially mixed traffic of CAVs and manual vehicles (MVs). Exclusive lane setting is included. However, exclusive lane policy-related researches for mixed traffic of CAVs and MVs were very limited, and the influence of number and location of exclusive lanes on the mixed traffic was unclear. To fill this gap, this paper aims to study the influence of different exclusive lane policies on mixed traffic and provide recommended lane policies under various traffic volumes and CAV penetration rates. Freeways with two lanes and three lanes in a single direction were taken into consideration, and sixteen lane policies were proposed. Then different lane policies were simulated with a new proposed cellular automata (CA) model, and properties including flux, average speed, and CAVs degradation were analyzed to evaluate the traffic efficiency of each lane policy. The results show that CAV exclusive lanes can improve the capacity, while MV exclusive lanes seem helpless for capacity improvement. Seven lane policies, including GC, GM, and CM for two-lane freeways and GCG, CGC, and CCM for three-lane freeways, outperform the others in terms of average speed. In addition, exclusive lanes can reduce the probability that CAVs degenerate to AVs. Our findings may help to optimize freeways’ lane policies and improve the efficiency of heterogeneous traffic mixed with CAVs and MVs.http://dx.doi.org/10.1155/2020/3968625 |
| spellingShingle | Xuedong Hua Weijie Yu Wei Wang Wenjie Xie Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles Journal of Advanced Transportation |
| title | Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles |
| title_full | Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles |
| title_fullStr | Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles |
| title_full_unstemmed | Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles |
| title_short | Influence of Lane Policies on Freeway Traffic Mixed with Manual and Connected and Autonomous Vehicles |
| title_sort | influence of lane policies on freeway traffic mixed with manual and connected and autonomous vehicles |
| url | http://dx.doi.org/10.1155/2020/3968625 |
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