Collaborative Multi-Lane on-Ramp Merging Strategy for Connected and Automated Vehicles Using Dynamic Conflict Graph Article Swipe
Jia Shi
,
Yugong Luo
,
Pengfei Li
,
Jiawei Wang
,
Keqiang Li
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26599/jicv.2023.9210032
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26599/jicv.2023.9210032
The on-ramp merging in multi-lane highway scenarios presents challenges due to the complexity of coordinating vehicles’ merging and lane-changing behaviors, while ensuring safety and optimizing traffic flow. However, there are few studies that have addressed the merging problem of ramp vehicles and the cooperative lane-change problem of mainline vehicles within a unified framework and proposed corresponding optimization strategies. To tackle this issue, this study adopts a cyber-physical integration perspective and proposes a graph-based solution approach. First, the information of vehicle groups in the physical plane is mapped to the cyber plane, and a dynamic conflict graph is introduced in the cyber space to describe the conflict relationships among vehicle groups. Subsequently, graph decomposition and search strategies are employed to obtain the optimal solution, including the set of mainline vehicles changing lanes, passing sequences for each route, and corresponding trajectories. Finally, the proposed dynamic conflict graph-based algorithm is validated through simulations in continuous traffic with various densities, and its performance is compared with the default algorithm in SUMO. The results demonstrate the effectiveness of the proposed approach in improving vehicle safety and traffic efficiency, particularly in high traffic density scenarios, providing valuable insights for future research in multi-lane merging strategies.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.26599/jicv.2023.9210032
- https://ieeexplore.ieee.org/ielx7/9944931/10123362/10499221.pdf
- OA Status
- diamond
- Cited By
- 4
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394744741
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394744741Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.26599/jicv.2023.9210032Digital Object Identifier
- Title
-
Collaborative Multi-Lane on-Ramp Merging Strategy for Connected and Automated Vehicles Using Dynamic Conflict GraphWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-01Full publication date if available
- Authors
-
Jia Shi, Yugong Luo, Pengfei Li, Jiawei Wang, Keqiang LiList of authors in order
- Landing page
-
https://doi.org/10.26599/jicv.2023.9210032Publisher landing page
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https://ieeexplore.ieee.org/ielx7/9944931/10123362/10499221.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/9944931/10123362/10499221.pdfDirect OA link when available
- Concepts
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Computer science, Graph, Cyber-physical system, Set (abstract data type), Decomposition, Graph theory, Distributed computing, Mathematical optimization, Theoretical computer science, Mathematics, Combinatorics, Programming language, Ecology, Operating system, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-03-01 |
| publication_year | 2024 |
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