Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles
Abstract Traffic flow mobility on expressway plays an important role in urban development. With the emergent technologies, connected vehicles, including both connected automated vehicles (CAVs) and connected regular vehicles (CRVs), are equipped with connectivity features to improve efficiency of ur...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024-12-01
|
| Series: | Urban Lifeline |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44285-024-00029-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846112620070830080 |
|---|---|
| author | Yanyan Qin Changqing Liu Lulu Xie Honghui Tang |
| author_facet | Yanyan Qin Changqing Liu Lulu Xie Honghui Tang |
| author_sort | Yanyan Qin |
| collection | DOAJ |
| description | Abstract Traffic flow mobility on expressway plays an important role in urban development. With the emergent technologies, connected vehicles, including both connected automated vehicles (CAVs) and connected regular vehicles (CRVs), are equipped with connectivity features to improve efficiency of urban expressway in a mixed traffic scenario. Existing research indicates that without targeted management, the integration of CAVs and CRVs into regular vehicles (RVs) traffic can lead to a series of congestion issues. A potential solution lies in the implementation of dedicated lanes, each designated for specific vehicle types, which could alleviate traffic flow complications. Therefore, this paper proposes a dynamic optimal lane management strategy for multi-lane mixed traffic urban expressway, aimed at maximizing the whole discharge flow. To begin with, we present an analytical method to mathematically derive discharge flow of each lane type including mixed traffic lane, CAV/CRV dedicated lane, and RV dedicated lane, from the perspective of both traffic demand and traffic capacity. Then, taking a three-lane mixed traffic urban expressway as an application, we conduct a numerical analysis of the dynamic optimal lane management strategy, based on comparisons among eight distinct strategies, under varying factors of traffic demands, penetration rates of CAVs and CRVs, and allocation proportions of vehicles upstream assigned to mixed traffic lanes. The results validate the effectiveness of the analytical method proposed for lane management strategies. It also indicates that the aforementioned system factors have significant impacts on the dynamic optimal lane management strategy. |
| format | Article |
| id | doaj-art-39a1e9d72e0f4e5abd76c1ee4328a5ee |
| institution | Kabale University |
| issn | 2731-9989 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Urban Lifeline |
| spelling | doaj-art-39a1e9d72e0f4e5abd76c1ee4328a5ee2024-12-22T12:24:45ZengSpringer NatureUrban Lifeline2731-99892024-12-012112110.1007/s44285-024-00029-wDynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehiclesYanyan Qin0Changqing Liu1Lulu Xie2Honghui Tang3School of Traffic and Transportation, Chongqing Jiaotong UniversitySchool of Traffic and Transportation, Chongqing Jiaotong UniversitySchool of Traffic and Transportation, Chongqing Jiaotong UniversitySchool of Traffic and Transportation, Chongqing Jiaotong UniversityAbstract Traffic flow mobility on expressway plays an important role in urban development. With the emergent technologies, connected vehicles, including both connected automated vehicles (CAVs) and connected regular vehicles (CRVs), are equipped with connectivity features to improve efficiency of urban expressway in a mixed traffic scenario. Existing research indicates that without targeted management, the integration of CAVs and CRVs into regular vehicles (RVs) traffic can lead to a series of congestion issues. A potential solution lies in the implementation of dedicated lanes, each designated for specific vehicle types, which could alleviate traffic flow complications. Therefore, this paper proposes a dynamic optimal lane management strategy for multi-lane mixed traffic urban expressway, aimed at maximizing the whole discharge flow. To begin with, we present an analytical method to mathematically derive discharge flow of each lane type including mixed traffic lane, CAV/CRV dedicated lane, and RV dedicated lane, from the perspective of both traffic demand and traffic capacity. Then, taking a three-lane mixed traffic urban expressway as an application, we conduct a numerical analysis of the dynamic optimal lane management strategy, based on comparisons among eight distinct strategies, under varying factors of traffic demands, penetration rates of CAVs and CRVs, and allocation proportions of vehicles upstream assigned to mixed traffic lanes. The results validate the effectiveness of the analytical method proposed for lane management strategies. It also indicates that the aforementioned system factors have significant impacts on the dynamic optimal lane management strategy.https://doi.org/10.1007/s44285-024-00029-wLane management strategyMixed traffic discharge flowConnected automated vehiclesConnected regular vehiclesUrban expressway |
| spellingShingle | Yanyan Qin Changqing Liu Lulu Xie Honghui Tang Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles Urban Lifeline Lane management strategy Mixed traffic discharge flow Connected automated vehicles Connected regular vehicles Urban expressway |
| title | Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles |
| title_full | Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles |
| title_fullStr | Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles |
| title_full_unstemmed | Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles |
| title_short | Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles |
| title_sort | dynamic optimal lane management strategy for multi lane urban expressway with bi class connected vehicles |
| topic | Lane management strategy Mixed traffic discharge flow Connected automated vehicles Connected regular vehicles Urban expressway |
| url | https://doi.org/10.1007/s44285-024-00029-w |
| work_keys_str_mv | AT yanyanqin dynamicoptimallanemanagementstrategyformultilaneurbanexpresswaywithbiclassconnectedvehicles AT changqingliu dynamicoptimallanemanagementstrategyformultilaneurbanexpresswaywithbiclassconnectedvehicles AT luluxie dynamicoptimallanemanagementstrategyformultilaneurbanexpresswaywithbiclassconnectedvehicles AT honghuitang dynamicoptimallanemanagementstrategyformultilaneurbanexpresswaywithbiclassconnectedvehicles |